PhD scholarship

 PhD scholarship in Bioinformatics, Genomics and Life Science:


Update  on  February 18, 2019

35 PhD positions within the Doctoral Programme, TALENT at the Faculty of Science, University of Copenhagen

Biodiversity; biological sciences and bioinformatics; chemical sciences; computer sciences; earth and planetary systems sciences; envirionment, climate and sustainability; food sciences; health and genomics; mathematical sciences, statistics & economics; nano and materials sciences; natural science education; nutrition and sports; particle physics, astro physics and cosmology; plant sciences and biotechnology; quantum sciences and technology; ressource economics and global development.

Department of Biology, Department of Chemistry, Department of Computer Science, Department of Food and Resource Economics, Department of Food Science, Department of Geosciences and Natural Resource Management, Department of Mathematical Sciences, Department of Nutrition, Exercise and Sports, Department of Plant and Environmental Sciences, Department of Science Education and the Niels Bohr Institute. The Doctoral Programme TALENT is offering 35 PhD scholarships in the above-mentioned 16 areas, commencing no later than 1 October 2019. Earliest indicative start date is 1 August 2019.

Formal requirements 
In order to be eligible for the TALENT Doctoral Programme, applicants:

1. Must not have resided or carried out their main activity (work, studies, etc.) in Denmark for more than 12 months in the 3 years immediately prior to TALENT's call deadline: 1 April 2019.
2. Must at the TALENT call deadline (1 April 2019) be in the first four years (full-time equivalent research experience) of their research careers and must not yet have been awarded a doctoral degree.
3. Must hold a relevant MSc degree at the time of applying. However, candidates, who do not hold an MSc degree, are also considered eligible if their credentials and CV equal those achieved on an MSc.

Application deadline: 01-04-2019

For detail click here


PhD student in Integrative Computational Network Biology

The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, and is a hosting member of the PRACE European distributed supercomputing infrastructure. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 500 staff from 44 countries.

The successful candidates will complete a PhD, which will address multiple topics: developing and applying sophisticated models and algorithms carefully tuned to extract relevant biological and medical knowledge from systems-level real-world molecular and medical data, including whole genome sequences, epigenetic data, protein-protein interaction networks, signaling networks, metabolic networks, transcriptional regulation networks, gene and disease ontologies, drug similarity networks, drug-target interactions, drug-drug interactions, patient records, lifestyle data, electronic health records etc.; the aim is to mine these inter-linked heterogeneous networked data for new biological and medical insight that would lead to improving diagnostics, discovering new biomarkers, improving patient stratification and treatment, personalizing treatment and facilitate rational drug development.

Key Duties
  • Complete a PhD in computational biology
  • Collaborate with various research groups across Europe, USA, Canada and elsewhere
Requirements
  • Education
    • MSc in Computer Science, Mathematics, Physics, Bioinformatics, or a related field;
      BSc in Computer Science is preferred.
  • Essential Knowledge and Professional Experience
    • Fluency in spoken and written English

For detail click here


Posted on February 15, 2019

PhD Student in Dermato-Oncology and Bioinformatics

The German Cancer Research Center is the largest biomedical research institution in Germany. With approximately 3,000 employees, we operate an extensive scientific program in the field of cancer research. The National Center of Tumor Diseases (NCT) Dresden is a joint institution of the German Cancer Research Center, the University Hospital Carl Gustav Carus Dresden, the Faculty of Medicine at TU Dresden, and the Helmholtz-Zentrum Dresden-Rossendorf (HZDR). The NCT with sites in Heidelberg and Dresden is the leading oncological center in Germany and shall be expanded to an international center of excellence regarding point-of-care and individualized cancer medicine. The German Cancer Research Center is seeking for the partner site Dresden of the National Center of Tumor Diseases a PhD Student in Dermato-Oncology and Bioinformatics.

Melanoma brain metastases remain the leading cause of skin cancer-related deaths, despite new effective therapy options for patients with metastatic melanoma. This PhD project aims at identifying novel proteins and signaling pathways that are associated with therapy resistance of melanoma brain metastases by comparing the epigenetic and transcriptomic landscapes of matched brain- and non-brain metastases from the same patients. The PhD student will perform a personalized bioinformatics analysis of already acquired methylome and transcriptome data of the individual matched pairs to derive patient-specific gene and pathway signatures associated with therapy resistance. Based on this, the PhD student will validate candidate genes from the bioinformatics analyses by immunohistochemistry and functional in vitro assays.

Requirements:

  • Strong interest in interdisciplinary clinical and translational oncology research
  • Graduation in molecular biology, biochemistry, biotechnology, bioinformatics or related fields (Master of Science or equivalent)
  • First experiences in the application of cell and molecular biological techniques and bioinformatics data analysis
  • R programming skills
  • Ability to work independently, as part of a team and in collaboration with others in an international and interdisciplinary environment
  • English communication and writing skills are required
  • German speaking and writing skills are of advantage

Application Deadline: 15.03.2019

For detail click here


Doctoral (PhD) student position in Biostatistics

The Department of Medical Epidemiology and Biostatistics (MEB) is among the largest departments of epidemiology in Europe with special focus on increasing our knowledge of the aetiology of different diseases. Our department consists of researchers, doctoral students, biostatisticians, data collectors and database administrators as well as administrative personnel, in total some 250 staff. The department is situated at campus Solna.

The doctoral education project and the duties of the student Applicants are invited for a PhD research training position to work on the development and application of statistical models in population-based cancer studies, together with Dr. Therese Andersson and Prof. Paul Lambert.The project will include multistate and/or relative survival/excess mortality models applied to population disease registers. For new methods, software will be developed to help the transferal of methods into practice. There is flexibility in the exact topics of the PhD depending on the successful applicant’s background and interests, but it is expected that it will contain a mixture of both methodological and applied studies.

General entry requirements
A person meets the general entry requirements for doctoral/third-cycle/PhD education (according to Higher Education Ordinance Chapt 7, section 39) if he/she:

 

  • has been awarded advanced/second-cycle/master qualification (i.e. master degree) or
  • has satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the second-cycle/master level, or
  • has acquired substantially equivalent knowledge in some other way in Sweden or abroad.

 

Last application date 22.Mar.2019

For detail click here


Posted on February 13, 2019

Two doctoral Students: Bioinformatics and Functional Genomics

The German Cancer Research Center is the largest biomedical research institution in Germany. With approximately 3,000 employees, we operate an extensive scientific program in the field of cancer research.

We are seeking two exceptionally talented and highly motivated Doctoral Students in the Division of Applied Functional Genomics (Prof. Dr. Claudia Scholl) and in the Regulation of Cellular Differentiation Research Group (PD Dr. Daniel Lipka) in the Division of Cancer Epigenetics for a joint project that focuses on the elucidation of mutant KRAS-induced epigenetic changes and the associated vulnerabilities.

We are international, friendly and enthusiastic teams that offer intensive support and mentoring. Technologies in our laboratories include functional genomics (RNAi, CRISPR/Cas9), structural genomics (single-cell RNA sequencing, single-cell DNA methylation, histone modifications, chromatin configuration), bioinformatics and diverse molecular/cell biological and biochemical approaches. Furthermore, we are closely connected to clinical aspects of cancer patient care, for example via the MASTER cancer genome sequencing program of the National Center for Tumor Diseases (NCT) and the German Cancer Consortium (DKTK).

We offer:

  • Interesting, versatile workplace
  • International, attractive working environment
  • Campus with modern state-of-the-art infrastructure
  • Access to international research networks
  • Doctoral student payment including social benefits
  • Flexible working hours
  • Comprehensive training and mentoring program through the Helmholtz International Graduate School

Application Deadline: 01.03.2019

For detail click here


Doctoral candidate (PhD student) in Cancer Metabolism and Microbiome Research

The University of Luxembourg is a multilingual, international research University. Luxembourg is a dynamic, multicultural country in the heart of Europe with a strong research and development base supported by important organisational resources. The Luxembourg Centre for Systems Biomedicine (LCSB) at the University of Luxembourg offers state-of-the-art facilities and an excellent training environment for early-stage researchers, in particular in the biomedical sciences. The Enzymology & Metabolism and Environmental Cheminformatics Research Groups at the LCSB are looking to hire a PhD student as part of the MICROH DTU, an interdisciplinary doctoral training unit which aims to study interactions within and between microbiomes in relation to two major healthcare challenges of our time, i.e. the spread of antimicrobial resistance genes and the increasing prevalence of chronic diseases.

The project entitled ‘Untargeted Approaches to Identify Metabolites Involved in Colon Cancer Development and Progression’ involves the development of untargeted metabolomics analysis pipelines to identify metabolites whose levels differ significantly e.g. between control and tumour samples from colorectal cancer patients or between healthy control and patient plasma samples. Elucidation of the organismal origin of these metabolites (microbiome- or human-derived) will be assisted by metabolic modelling.

Your Profile

  • Master degree in Chemistry, Biochemistry, Molecular Biology, Biotechnology or a related discipline
  • Strong background in metabolic biochemistry and analytical chemistry, as well as solid notions in bio- /cheminformatics and biostatistics
  • Previous hands-on experience with chromatography and mass spectrometry techniques
  • Experience with metabolic modelling will be considered an advantage
  • Excellent English writing and speaking skills will be essential

Please apply ONLINE until March 1st, 2019 (or until filled).

For detail click here


Posted on February 11, 2019

PhD student in computational biology

Uppsala University is a comprehensive research-intensive university with a strong international standing. Our mission is to pursue top-quality research and education and to interact constructively with society. Our most important assets are all the individuals whose curiosity and dedication make Uppsala University one of Sweden’s most exciting workplaces. Uppsala University has 42,000 students, 7,000 employees and a turnover of SEK 6.7 billion.

The Department of Cell and Molecular Biology is one of the most international, broad and distinguished molecular bioscience departments in Europe.The department comprises six research programs with about 130 employees. This PhD position will be in Professor Johan Åqvist’s research group, in the program for Computational Biology and Bioinformatics. The programbrings together research and education in biomolecular computing and bioinformatics,there are about 40 employees, including 15 PhD students.

The applicant should have a university degree in chemistry, biochemistry or physics. The applicant should have a solid background in theoretical chemistry and structural biology, as well as experience from computational calculations. Team work ability is considered very important and you must be able to teach in either Swedish or English. Admission decisions will be based on an assessment of the applicant's ability to successfully complete the doctoral studies.

Please submit your application by March 4th 2019, UFV-PA 2019/476.

Reference number UFV-PA 2019/476

For detail click here


PhD position (bioinformatician)

We are one of the youngest universities in Germany and think in terms of possibilities, not limitations. In the heart of the Ruhrregion, we develop ideas of the future at our 11 faculties. We are strong in research and teaching, live diversity, support potential and are highly committed to an educational equality that has earned this name.

The University Hospital Essen offers first class medical services in the Ruhr metropolis. Every year, 225.000 patients are treated in 26 clinics, 23 institutes and specialized centers. The over 6.000 employees offer medical care with state-of-the art diagnostics and therapies, which meet highest international standards. Patient care is connectedwith basic and translational research at an international competitive level.

We are looking for enthusiastic candidates with a strong Master’sdegree(or equivalent)in the field of: Medical Sciences, Cell Biology, Molecular Biology, Immunology, Biochemistry, Biophysics, Bioinformatics, or equivalent disciplines.Candidates should be able to work independently and have a strong interest in the above-mentioned research fields as well as high motivation and commitment for active participation in the interdisciplinary program of the CRU. Candidates are selected on the basis of excellent performance in their studies and their motivation.Candidates should be fluent in spoken and written English; knowledge of German is not a requirement.

We are looking forward to your application (incl. cover letter, CV, Bachelor’s, Master’s, references, list of publications, if available). As an option, applicants for PhD student positions can indicate up to three project preferencesor if they would like to be considered for any of the available positions.

For detail click here


Posted on February 08, 2019

Bloomsbury PhD Studentship based at RVC: “Omics” based characterisation of host genetics and gut microbiome

Pathogenic microbes limit economic production of poultry, compromise animal welfare and pose a risk to human health. Vaccines are available for some pathogens but are expensive, with limited availability in many countries. A complementary strategy to control disease is to enhance inherent resistance traits of chickens by selective breeding strategies1,3,4.

Enteric-microbiome composition varies widely between individuals and is associated with differences in health and productivity. Recently we discovered that gut-microbiome composition is a heritable complex-trait in chickens2,3, and we identified SNP-markers associated with this trait2,3. These preliminary results support the potential of selective breeding to promote protective gut microbiota and reduce dependence on antibiotic-mediated pathogen control.

Requirements

Essential: 

  • Good first degree in biomedical or a related science.
  • Excellent written English.
  • Excellent organisational skills.
  • Excellent oral and written communication skills.
  • Excellent interpersonal skills, and able to work as part of team.

Desirable:

  • Prior research experience
  • Experience with R and Linux
  • Programming experience
  • Research experience working in a molecular biology, microbiology or genetics lab.
  • Understanding of the poultry industry

APPLICATION DEADLINE 10/02/2019

For detail click here


Interdisciplinary PhD positions in host-microbe biology

Founded in 1614, the University of Groningen enjoys an international reputation as a dynamic and innovative centre of higher education offering high-quality teaching and research. Flexible study programmes and academic career opportunities in a wide variety of disciplines encourage the 31,000 students and researchers alike to develop their own individual talents. As one of the best research universities in Europe, the University of Groningen has joined forces with other top universities and networks worldwide to become a truly global centre of knowledge.

We are looking for two talented and enthusiastic biologists, biochemists, physicists or mathematicians who are interested in applying quantitative and system-level approaches towards understanding host-microbe interactions. The PhD candidates for this project will be working at the Intestinal Microbiology group led by Dr. Jonas Cremer and which is part of the GBB Department of Molecular Immunology and Microbiology. Gut bacteria, their growth and their interactions within the human host are studied via a highly interdisciplinary approach that includes methods for state-of-the-art anaerobic cultivation, omics techniques, and extensive computer simulations.

Qualifications

The ideal candidates are interested in doing both, wet-lab experiments and modelling approaches, share an enthusiasm to investigate biology by numbers, and can provide the following qualifications:
• a MSc degree with specialization in molecular (micro)biology, biochemistry, bioengineering, physics, mathematics, or computer sciences is required
• excellent command of the English language
• ability to work independently and in a team
• experience with simulations/coding or wet-lab experiments is an advantage.

Posted on February 06, 2019

PhD student:  non-coding RNAs in cancer

A position is available for a highly motivated PhD student interested in doing research on circular RNAs in the context of cancer. The candidate will join an international and multidisciplinary team consisting of both bioinformatics and wet-lab experts. The group has a strong research track record on cancer genomics and transcriptomics with a specific interest in the role of non-coding RNAs in cancer as biomarkers or therapeutic targets. Circular RNAs form a fascinating novel class of non-coding RNA, with only a few of them functionally characterized or studied in detail. As circRNAs are stable and abundantly circulating in human blood, they are especially interesting for the discovery of novel cancer biomarkers. The goal of this project is to obtain a set of validated circRNA biomarkers for non-invasive cancer therapy response monitoring and preclinical evidence of novel therapeutic targets.

Profile of the candidate

  • Master’s degree in (Biomedical) Engineering, Bioinformatics, Pharmaceutical Sciences, (Bio)Medical sciences, or equivalent
  • Highly motivated, eager to learn and team-oriented
  • Excellent oral and written proficiency in English
  • You have a specific interest in and motivation for cancer research
  • Affinity to bioinformatics is recommended

Last application date Mar 31, 2019 23:59

For detail click here


PhD Studentship in Developmental Neurobiology

A 3-year PhD Studentship is available within the Developmental Biology of Birth Defects Section, UCL GOS Institute ofChild Health under the supervision of Professor Andrew Copp and Professor Nick Greene. Developmental neurobiology: Why do neural tube defects affect the brain more commonly in females than males? Neuraltube defects (NTDs; e.g. anencephaly, spina bifida) are severe birth defects resulting from failure of embryonic neural tube closure. This PhD investigates why anencephaly (open brain) is 1.5-2 times more commonin females than males, whereas spina bifida (open spine) has an equal sex ratio. Mice with NTDs also show a female excess in anencephaly. Female cells inactivate one of their X chromosomes early in development,and this may limit the availability of methyl groups for control of gene expression during neurulation, possibly representing the basis of the increased anencephaly risk in females.

The project would be suitable for a student with a BSc in Developmental Biology, Genetics or a similar discipline. Applicants should have or expect to receive a first class or upper second class honours degree andshould be ordinarily resident in the UK or EU. Knowledge and laboratoryexperience of research in developmental biology would be an advantage. The student will receive a stipend of £17,280 per annum as well as the cost of tuition fees at the UK/EU rate. Any additional overseas’ studentfees must be paid by the student. The studentship is funded by the Bo Hjelt Spina Bifida Foundation.

To apply, please send a current CV including the contact details of two professional referees, and a covering letter explaining your reasons forapplying for this studentship, and giving details of any relevant experience. The application should be sent to Louise Loughlin, ProgrammeManager for Developmental Biology & Cancer (ich.dbc.admin@ucl.ac.uk). Enquiries regarding the PhD can be made direct to Professor Andrew Copp (a.copp@ucl.ac.uk).

Closing Date 15 Feb 2019

For detail click here


Posted on February 04, 2019

PhD position: “Data science for functional genomics in infection biology”

The research group “Integrative Informatics for Infection Biology” (IIIB) of Dr. Lars Barquist at the Helmholtz Institute for RNA-based Infection Research (HIRI) in Würzburg (Germany) is offering a PhD position: “Data science for functional genomics in infection biology”.

The successful applicant will work in the dynamic and international research environment of the HIRI in Würzburg, which is part of the Helmholtz Centre for Infection Research in Braunschweig. The selected applicant will further be embedded within the highly successful structured doctoral training program of the Graduate School of Life Sciences (GSLS) Würzburg.

Qualifications:

  • Master’s Degree/Diploma in computer science, bioinformatics, statistics, physics, or a related field
  • Experience with at least one mathematical or statistical programming language (e.g. R)
  • Equivalent of advanced undergraduate knowledge of probability and statistics
  • Strong written and spoken English language communication skills

Applications accepted until 17.02.2019

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PhD position in Bioinformatics and Genomics

KU Leuven and the Joint Research Centre (JRC) of the European Commission are inviting applications for PhD positions through the Collaborative Doctoral Partnership (CDP) scheme. The CDP scheme intends to enhance the science-policy link through strategic collaborations with higher education institutions characterized by research excellence and international reputation, in order to: - Train a new generation of doctoral graduates in science and technology with a focus on the science-policy interface, able to understand the research needs at different stages of the policy cycle, capable of providing scientific support to policy and of using transferable skills in science communication and knowledge management.

Next Generation Sequencing (NGS) technologies have become an indispensable tool in diagnostic laboratories. First, NGS panels have taken over Sanger sequencing in order to sequence at once all genes linked to a condition and improve diagnostic efficiency, while reducing time to diagnosis. However, targeted resequencing misses a significant proportion of causative genetic variants.  Whole Genome Sequencing (WGS) is becoming affordable and is currently being implemented in a diagnostic setting.  WGS will homogenize the wet lab workflow, offer a single test for all conditions, and ultimately decrease cost and time to diagnosis. However, several challenges remain to implement and routinize clinical whole genome sequencing.

Profile

  • You have (or are near completion of) a Master in Bioinformatics, Computer Science, and/or genetics (or a related field).
  • You have a motivated interest in research in computational biology.
  • You work proactively and independently and have good communication skills.
  • You have a very good knowledge of English, both spoken and written.
  • You are highly motivated, ambitious and result-oriented.

For detail click here


Posted on February 01, 2019

Full-time PhD Position in Biotech Data Science: Ghent University Global Campus, Korea

Ghent University Global Campus Ghent University Global Campus (GUGC) is an integrated campus of Ghent University, Belgium, and the first European university to be part of the Incheon Global Campus (IGC) in Incheon, South Korea. Ghent University Global Campus currently offers Bachelor of Science programs in Molecular Biotechnology, Environmental Technology, and Food Technology. Ghent University is one of the top 100 universities in the world (ARWU 62nd), and in the Life Sciences subjects taught at GUGC, Ghent University ranks even higher.

Job Description

  • Assist his/her supervisors in teaching undergraduate courses at Ghent University Global Campus, Korea (statistics, bioinformatics, and/or mathematics).
  • Conduct (applied) research in the area of machine learning, with a particular focus on applications in plant biotechnology and plant phenotyping, (for example, but not limited to) furthering existing research lines with regards to 3D modeling of rice plants in a greenhouse setting(e.g., plant growth analysis, plant modeling, …).
  • Assist his/her supervisors with tasks in ongoing and future R&D projects.

Profile of the Candidate

  • Hold, or expect to hold, by September 2019, an MSc degree in one of the following disciplines: statistics, (applied) mathematics, computer science, or electrical engineering. Exceptional candidates from other science/engineering backgrounds will also be considered.
  • Have a strong statistical background, a good knowledge of mathematics, and a high level of comfort with computer programming (e.g., C/C++ and/or Python).
  • Be highly motivated to conduct (applied) research in the area of machine learning.
  • Experience with machine learning/computer vision tools (e.g., TensorFlow, PyTorch, OpenCV) is a plus.
  • Experience with R is a plus.
  • Have an excellent academic track record.
  • Have an excellent command of English (a minimum score of 80 on the TOEFL iBT test), both written and orally.

Last application date Mar 31, 2019 23:59

For detail click here


Positions for PhD students: Modelling Chromosome Conformation and Gene Regulation

Positions for PhD students and postdocs funded by an ERC Starting Grant are available in the group of Luca Giorgetti at the Friedrich Miescher Institute for Biomedical Research (FMI) in Basel. Our lab studies the interplay between genome architecture and gene expression in mammalian cells using experimental methods from molecular biology, imaging and genomics as well as physical modelling.

In mammalian cells, transcriptional control depends on distal regulatory DNA sequences such as enhancers, which can be located at large genomic distances from their target genes. Enhancers are thought to activate transcription from promoters by associating with them in the three-dimensional space of the cell nucleus. However, the principles that link enhancer-promoter interactions to transcription are unknown. How often does an enhancer contact its target promoter during a cell cycle, and how long do their encounters last? In how many cells in a population do enhancer-promoter interactions occur? Are they actually necessary for transcriptional activation, and by which mechanisms they translated into accurate gene expression patterns? To address these questions, the successful candidates will apply methods from polymer physics and statistical mechanics to describe the three-dimensional folding and dynamics of chromosomes. They will also develop new computational and bioinformatic methods to analyse quantitative datasets obtained in our lab, including Hi-C as well as live-cell imaging of RNA and DNA.

We are looking for highly motivated, intellectually curious individuals with a proven track record in biophysics, computational or soft-matter physics. Previous experience with analysis of biological datasets and/or bioinformatics will be considered a plus. A competitive salary and collaboration/training with the cutting-edge FMI Computational Biology, Functional Genomics and Advanced Imaging facilities will be provided.

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Posted on January 30, 2019

PhD candidate in Computational Proteomics and Applied Machine Learning

The Van't Hoff Institute for Molecular Sciences (HIMS) is one of eight institutes of the University of Amsterdam’s Faculty of Science. HIMS performs internationally recognized chemistry and molecular research, curiosity driven as well as application driven. This is done in close cooperation with the chemical, flavour & food, medical and high-tech industries. Research is organised into four themes: Sustainable Chemistry, Analytical Chemistry, Computational Chemistry and Molecular Photonics.

Renal transplantation is the preferred treatment for end-stage kidney disease worldwide, which unfortunately requires life-long medication to suppress the development of rejection. These medicaments have serious side-effects and in some patients they are less effective at treating rejection than anticipated. The cornerstone of current transplant diagnostics is biopsy. Biopsies taken from the transplant are analyzed by a pathologist, who is a medical specialist trained at pattern recognition. Over the past years, new methods to aid pathologists at better performing these difficult classification tasks have been emerging, of which the most important is the use of machine learning algorithms for pattern recognition.

Requirements

What do we require of you?

  • A master’s or equivalent degree in a relevant field (Life Sciences, Systems Biology, Computational Biology, Artificial Intelligence);
  • working knowledge on relevant programming languages (Python, R, Bash, etc.);
  • affinity with translational research, analytical validation and complex systems modelling;
  • ability to work both independently and as a team member;
  • good communication skills in English.

Experience with mass spectrometry and proteomics is preferred.

Vacancy number 19-042

Closing date 1 March 2019

For detail click here


PhD student in computational genomics

The European Research Institute for the Biology of Aging (ERIBA) is a research institute embedded with the University Medical Centre Groningen (UMCG). The mission of ERIBA is to better understand the molecular mechanisms that result in age-related decline and age-related diseases. We aim to develop novel strategies to prevent or combat age-related diseases and to provide evidence-based recommendations for healthy ageing. Our research teams are working with different model systems and technology platforms and share their knowledge and expertise to accelerate discoveries. The ERIBA is part of the central UMCG campus in the vibrant university city of Groningen in the north of the Netherlands.

We are looking for a student to join our project on studying missing and structurally polymorphic segments in human genomes. Despite the fact that completion of human genome project that was announced over 15 years ago, our knowledge of human genomes is still rather incomplete. In total, large and complex changes in our genomes affect even more DNA letters (bases) than single-nucleotide differences. The most challenging part that is typically missing from the resultant list of DNA variants is large insertions that are not part of reference human genome.

What do we need:

The ideal candidate has a MSc in biology, bioinformatics, computer science or a related field who:

  • has solid background in genetics and genomics
  • has experience in programming and data analysis
  • pro-active, can do, collaborative, open attitude
  • communicates easily in English speech and scientific writing (with good publication track record)

You can apply until 17 February 2019.

For detail click here


Posted on January 28, 2019

PhD scholarship in Machine Learning for Precision Oncology

The Cancer Research Center of Marseille (CRCM) is the basic science and translational research unit of the IPC (http://crcm.marseille.inserm.fr/en/the-care-center/). Also affiliated to INSERM, CNRS and Aix-Marseille University, the 250 researchers working at the CRCM form a strongly multi-disciplinary research environment characterized by frequent and close collaborations with IPC clinicians. IPC is a member of the UNICANCER network (http://www.unicancer.fr/en/unicancer).

This project will address the question of how to leverage clinical data to improve our ability to predict which cancer patients will respond to a drug treatment. The CONSORE project within IPC has completed the structuration of electronic health records from clinical practice. As a result, we now count with a large volume of structured data from the IPC (currently 258,168 patient records). The successful candidate will investigate and implement predictive models exploiting these data resources. This includes the application of suitable machine learning techniques to reduce the dimensionality of data in building these in silico models.

Skills/Qualifications

Essential

  • An excellent first or master degree with a major focus on computational analysis of experimental data, preferably in an area directly relevant to the project.
  • Skilled in the implementation of R or Python scripts for scientific data analysis.
  • Comfortable working in linux environments.
  • Ability to communicate effectively in English, both orally and in writing.

Desirable

  • Master project and/or internship in the application of machine learning to solve real-world problems in the context of biomedical research.
  • Prior use of computational tools and resources based on pharmaco-omic data.
  • Background in cancer biology and/or drug discovery.

For detail click here


PhD Students position in Biology/ Computer science/ Computational Biology

The Turing Centre for Living Systems (CENTURI) wishes to attract talented PhD students to the Luminy campus (Marseille, France) and will fund up to 12 PhD fellowships to start in 2019, for three years. PhD students will work in an interdisciplinary life science environment, and have backgrounds in any of the following fields: cell or developmental biology, immunology, neurobiology, biophysics, theoretical physics, computer science, bioinformatics, applied mathematics, engineering. PhD projects must involve at least two research groups from different disciplines, to foster collaborations and interdisciplinarity.

Expected profile – selection criteria

Candidates must have, or expect to obtain a Master’s degree in biology, computer science, computational biology, mathematics, physics or engineering. Candidates will be evaluated on the following criteria:

-  Academic achievements

-  Past research experience (internships)

-  Ability to work on a collaborative research project

-  Ability to work in a multidisciplinary research environment

-  Enthusiasm and communication skills

Deadline for application: February 15, 2019

For detail click here


Posted on January 25, 2019

iGRAD-Plant - a PhD/graduate program for plant science

The International Graduate School for Plant Science is offering an international PhD program with excellent research possibilities for young scientists. iGRAD-Plant is a joint program with the undefinedResearch Center Jülich and the undefinedGenetics program of the Michigan State University, East Lansing, USA. In order to achieve international research experience all PhD students in the iGRAD-Plant program perform a 6 to 9 month research stay at the Michigan State University, one of the leading universities of plant science in the USA. Research areas and training are covered in:

  • Molecular Plant Sciences
  • Genetics
  • Microbiology
  • Synthetic Biology
  • Quantitative Biology
  • Computational Biology

Application Deadline: February 25, 2019

For detail click here


PhD position: Bioinformatics

The Leibniz Institute for Food Systems Biology at the Technical University of Munich (Leibniz LSB@TUM) is a research institution of the Leibniz Association that combines methods of biomolecular basic research with analysis methods of bioinformatics and analytical high-performance technologies to investigate the complex interplay between the human organism and food ingredients.

Your area of responsibility includes    

  • modeling tasks dealing with taste and olfactory receptors, including homology modeling, docking, explicit solvent/membrane Molecular Dynamics simulations, pharmacophore modeling and virtual high-throughput screening
  • taking on organizational tasks

Requirements       

  • The ideal applicant has a degree in bioinformatics, biochemistry, chemistry, food chemistry, life science (state examination, diploma, master\'s degree) or comparable qualification, a sound basic knowledge of computational modeling, as well as data analysis and solid English-language skills.
  • Familiarity with the Linux environment, scripting and programming skills are highly welcome.

For detail click here


Posted on January 23, 2019

PhD position: Decoding cellular heterogeneity

We are a young and dynamic lab that is part of Belgium’s highest-ranked university, KU Leuven. It is a leading European research university, which ranks first in Europe in terms of innovation. This PhD position will be well embedded in local expertise on single cell analyses, as we are part of the SymBioSys network aiming to advance computational methods in single cell analyses, and of the Leuven Cell Center, which joins research capabilities of several labs having a major focus on applications of single cell omics technologies. We share campus with Belgium’s biggest hospital, and have ongoing collaborations with clinicians for patient sample procurement to maximize potential clinical impact. We perform state-of-the-art research in epigenetics, and aim for a functional rather than correlative understanding of the role of epigenetics in biology and disease.

The Laboratory for Functional Epigenetics is looking for a PhD candidate to join our team to investigate the role of the epigenome in generating transcriptional heterogeneity. Cellular heterogeneity is key to multiple aspects of normal development, physiology and to diseases such as cancer. However, the biological control of cellular variability and heterogeneity has remained vastly underexplored, in part because heterogeneity is often obscured in bulk cell omics analyses. The advent of single cell omics technologies however opens up exciting new opportunities to study heterogeneity at the cellular level, a fundamental unit of biology.

Profile

  • Applicants should hold a Master degree in bioinformatics, mathematics, physics, engineering or a biological or biomedical degree with additional training in bioinformatics.
  • We are explicitly looking for innovative, creative personalities with ambition and a hands-on, can-do attitude.
  • Programming/data analysis experience is required (preferably R).
  • Knowledge of statistics, epigenetics and/or NGS data analysis is a strong plus.
  • A proven track record of interest in (epi)genetics or biomedicine is a plus
  • Motivated students of all nationalities with a strong commitment to basic and/or clinical research are invited to apply.

For detail click here


PhD for Data Analysis in Single Cell Genomics

As German Research Center for Environmental Health, Helmholtz Zentrum München pursues the goal of developing personalized medical approaches for the prevention and therapy of major common diseases such as diabetes mellitus, allergies and lung diseases. To achieve this, it investigates the interaction of genetics, environmental factors and lifestyle.

Single cell genomics is revolutionizing biology and medicine, combining the advantages of bulk sequencing techniques and microscopic analyses of single cells. Rapid technological advances now allow the profiling of genomes, transcriptomes and epigenomes at an unprecedented level of resolution. In order to fully exploit these techniques, it is necessary to constantly develop and adapt computational methods of analysis. To that end, the Institute of Diabetes Research together with the Institute of Computational Biology are looking for a PhD candidate aiming to develop computational methods while closely collaborating with wet-lab partners.

Your qualifications

  • M.Sc. degree in bioinformatics, systems biology, computer science, mathematics, physics or equivalent
  • Background in statistical data analysis, ideally for RNAseq data
  • Strong interest in biological applications
  • Passion for computers, science, big data, machine learing and scientific work               
  • Proficient in written and spoken English
  • Team player being comfortable in interacting with colleagues in an interdisciplinary setting

For detail click here


Posted on January 21, 2019

PHD POSITION IN BIOINFORMATICS

We seek a new colleague who will work on a collaborative PhD project between the Neurochemistry group at the Alzheimer Center Amsterdam UMC-locations VUmc and Bioinformatics at the Vrije Universiteit Amsterdam. The aim is to develop novel approaches in biomarker development for dementias. Crucial is here to develop models to rationalise the prediction how biomarkers, in a specific medium, will be able to bind specific antibodies for detection. Therefore, bioinformatics and structural bioinformatics will play an important role in this PhD project.

Your duties

  • Develop a database for a) the epitope discovery process b) antibody design and c) assay development.
  • Use machine learning algorithms to predict epitope-antibody (protein-protein) affinity under differential conditions
  • Generate an adaptive workflow for biomarker development, including the prediction processes
  • Supervise computer practicals for MSc students (approx. 5%)
Functie-eisen
  • A MSc degree in Bioinformatics or MSc in Life Sciences with specialization in Bioinformatics
  • Strong interest in biomedical research
  • Experience in writing extensive R or python methods and workflows
  • A mindset of a practical problem solver combined with determination to solve practical problems
  • Good communication skills
  • Good skills in writing scientific reports

For detail click here


PhD In Cancer and Genetics: Identifying genetic modifiers of age of cancer onset

Rare highly penetrant genetic disease alleles cause early disease onset. In some conditions such as Huntington’s chorea, the size of the disease causing allele directly affects age of onset. Beyond known high penetrance and low pentrance risk alleles, we hypothesize that alleles may exist that affect age of disease onset, but not necessarily risk.

You will explore this possibility for cancer by utilising age of onset data from the COIN trial consisting of >2,200 patients with advanced colorectal cancer. We have genome wide genotyping data on over 10 million common and rare polymorphic variants for each patient and you will use this data to seach for alleles that modify age of onset via a genome wide association study. We will perform similar analyses on up to 78,000 patients with cancer from the UK Biobank.

This project has multiple avenues to be followed and will allow you to develop creative free thinking by identifying genetic modifiers across multiple cancer types and to work out their potential mechanisms by designing and performing both stratification analyses and also in silico functional analyses. Identification of genetic biomarkers has the potential to inform patient surveillance, outcome and management.

This is a computer-based statistical analysis project in which programming in R or Python will be essential (can be taught if necessary). You will gain a wide range of expertise in computer based biostatistics and bioinformatics (Pearson chi-square test, Cox survival model, Bonferroni correction, multiple fractional polynomial model, fixed-effects inverse-variance meta-analysis and Q & I-squared statistics, and, analyses using Polyphen and Align-GVGD, and, expression, transcription factor binding site and chromatin localisation data from ENCODE).

For detail click here


Posted on January 18, 2019

PhD scholarship in Plasmid Biology and Bioinformatics

Antimicrobial resistance (AMR) is one of the largest threats against global health and obtaining information about the global prevalence and emergence is essential to guide interventions. The Research Group for Genomic Epidemiology at the Technical University of Denmark, DTU, is together with several partners worldwide and funded by the Novo Nordisk Foundation trying to establish a global surveillance of infectious diseases and antimicrobial resistance based on metagenomic sequencing of urban sewage, and data are now rolling in (www.genomicepidemiology.org, www.globalmicrobialidentifier.org, www.compare-europe.eu).

While plasmids often serve as mediators of gene transfer, the process is also considered to be a strong evolutionary force in microbial environments. The group recently developed a procedure for the isolation of plasmid DNA from various sources, and subjected it to deep sequencing using the Oxford Nanopore long-read sequencing, Illumina paired-end protocol and analysis using public and custom-made bioinformatics tools. For this project we aim to characterize the plasmidome in various environments: e.g., waste water, animal faeces, which house complex yet dense microbial communities, and hold enormous significance for health including AMR research.

The successful student will work in close collaboration with other PhD-students and post docs studying other aspects of antimicrobial resistance and involving expertise in conventional and molecular microbiology, bioinformatics and epidemiology. 

  • You will contribute to the improvement of plasmid extraction from complex samples.
  • You will analyse the NGS data using bioinformatics methods.
  • You will be mainly responsible for studying the occurrence of plasmids and their correlation to AMR in global metagenomic data-sets.
  • You will contribute to build a global distribution of plasmidome occurrence and interaction.
  • You will contribute to understanding the global transmission of AMR.
  • Your research could include identifying plasmids, metagenomic mining, isolation and sequencing of plasmids, studying host-range of plasmids and determining associations between AMR, plasmids, bacterial composition and global epidemiological drivers. 

Qualifications
It is expected that applicants have a master degree where there has been a major inclusion of bioinformatics, computer science or similar.

Please submit your online application no later than 5 February 2019

For detail click here


CompCancer PhD programme 2019

The research training group CompCancer (RTG2424) is a DFG founded PhD programme in Berlin, focussing on computational aspects of cancer research.

CompCancer is a PhD programme (DFG funded research training group) that focusses on computational aspects of cancer research. Contemporary cancer resarch generates enormous data sets characterising tumors at unprecediented molecular details. To integrate and interprete these new layers of data, computational methods are becoming central in cancer research. Increasingly, computational methods are also required for clinical oncology, as more and more patients are receiving therapies based on integrated molecular profiles.

The goal of CompCancer is to develop and apply computational methods on relevant questions of current cancer research, and thereby train the next generation of computational oncologists. CompCancer focusses on research on

  • Personalised and advanced therapies
  • Tumor heterogeneity
  • Therapy resistance

These areas are adressed with contemporary methods including

  • Single cell methods
  • Mathematical modelling
  • Integration of multi-omics data
  • Complex IT systems

CompCancer will start 1.6.2019. We expect to publish calls for PhD positions soon.

For detail click here


Posted on January 16, 2019

PhD students in Bioinformatics, Medical informatics or Computational Biology

The gut microbiome plays a fundamental role in health and disease. CRC 1371 (Speaker Prof. Dr. Dirk Haller) focuses on the digestive tract and proposes an interdisciplinary approach to characterizing the functional relevance of microbiome signatures in the context of inflammation and cancer. Within the INF01 subproject of CRC 1371, we assemble an interdisciplinary team with expertise in medical informatics and bioinformatics to build a central IT platform for the collection and processing of human and non-human clinical, para-clinical and experimental data produced in CRC 1371. In building this platform, you will join a huge collaborative effort to assemble the most comprehensive knowledgebase of the gut microbiome and you will have a chance to bring in your own ideas to unravel the role of the microbiome in health and disease.

Job description
We are looking for skilled PhD students and Postdocs to contribute in building a central IT platform for gut microbiome research. On the medical informatics side, we seek expertise to build up a medical data integration platform that enables harmonization and analysis of sensitive data while adhering to data protection requirements. On the bioinformatics side, we seek expertise to build and integrate pipelines for systematic analysis of heterogeneous experimental data ranging from 16S ribosomal RNA to complex metabolome profiles. Moreover, we seek expertise for developing and integrating state-of-the-art statistical and network analysis methods into the platform. These methods will facilitate knowledge extraction, biomarker discovery and hypothesis generation for the CRC.

Required qualification
Candidates hold a Master degree (or equivalent) or PhD in computer science, medical informatics, bioinformatics, computational biology or biotechnology. They are open minded, active and have a good command of the English language (oral and written). The collaborative character of this project requires excellent team and communication skills as well as technical skills in software engineering and data analysis. Knowledge of Java and / or R is of advantage.

For detail click here


PhD position - Utilizing sequence variation to strengthen the Swiss pig breeding programs

ETH Zurich is one of the world’s leading universities specialising in science and technology. It is renowned for its excellent education, its cutting-edge fundamental research and its efforts to put new knowledge and innovations directly into practice. The Animal Genomics and Animal Genetics groups at the Institute of Agricultural Sciences, ETH Zurich, invite applications for a PhD student in pig genomics.

The objective of the PhD project is to compile a comprehensive catalogue of DNA variation that segregates in two Swiss pig populations using massive whole-genome sequencing data in order to improve the selection of future breeding animals. The successful candidate will be responsible for the analysis of pedigree, phenotype, genotype and whole-genome sequence data of two Swiss pig populations. Trait-associated sequence variants will be identified using bioinformatics and statistical approaches. Strategies will be developed to consider putatively deleterious, disease-associated and beneficial variants for the improvement of genome-based breeding programs. Close collaboration with an industry partner is foreseen in order to seamlessly integrate new findings into existing breeding programs.

The successful candidate should have a strong interest either in animal breeding and genetics, statistical genomics and/or computational biology. The PhD student will be part of a young and dynamic team that enjoys working with big genomic data from animal populations. Applicants should hold a MSc degree in agricultural science, animal science, genetics, computational biology, bioinformatics or related disciplines. Affinity to statistics, bioinformatics and computational genomics is required. The writing of scientific papers and the participation in international conferences requires good knowledge of English.

For detail click here


Posted on January 14, 2019

Doctoral Students in Molecular Medicine and Bioinformatics - FIMM-EMBL International PhD Application 2019

As part of the Nordic EMBL Partnership for Molecular Medicine, FIMM is seeking outstanding candidates for positions of Doctoral Students in Molecular Medicine and Bioinformatics starting in August 2019. FIMM (www.fimm.fi) is an international research institute focusing on human genomics and personalized medicine at the Helsinki Institute of Life Science of the University of Helsinki. FIMM integrates molecular medicine research, technology centre and biobanking infrastructures under one roof promoting translational research in grand challenge projects, specifically, the impact of genome information from the Finnish population in personalized health and medicine, individualized cancer medicine, and digital molecular medicine.

Qualifications and experience: Candidates are expected to have a second cycle academic degree (MSc, MD or equivalent) in biology, biochemistry, bioinformatics, biotechnology, cell biology, computer science, data science, genetics, mathematics, medicine, statistics or other related fields, obtained before the start of the position (August 2019). The successful candidate will have good problem solving, troubleshooting, and analytical skills. In addition, the candidate should be fluent in English, have good interpersonal and written and oral communication skills, and be able to work independently as well as in an international team.

For further information click here


PhD positions in protein design for synthetic biology

RNAct is a EU-MSCA ITN project with as research aim the design of novel RNA recognition motif (RRM) proteins for exploitation in synthetic biology and bio-analytics. This is achieved through a design cycle that starts with computational approaches at the sequence and structure levels of proteins and RNA, in order to select amino acid positions and mutations for large-scale phage display experiments with RNA screening. Viable RRMs will be further investigated at the atomic level with integrative structural biology approaches, and will be applied in synthetic biology, to post-transcriptionally regulate fatty acid processing via RRMs, and in bio-analytics, to detect RNA in-cell and design RNA biochips.

Eligible applicants for these Fellowships (equivalent to PhD positions) must hold a Masters degree of Science (MSc) in the field in chemistry, biochemistry, physical, life sciences or computational sciences as requested in the respective job description. Eligible candidates must, at the time of selection by the host organisation, be in the first four years (full-time equivalent) of their research careers. This is measured from the date when they have obtained their masters degree. Do not apply if you already hold a Ph.D.

For detail click here


Posted on January 11, 2019

Doctoral researcher (PhD student) in Parkinson's Disease Genetics and Genomics

The Luxembourg Centre for Systems Biomedicine (LCSB, https://wwwen.uni.lu/lcsb) at the University of Luxembourg is seeking an enthusiastic team member for the following position: Doctoral Researcher (PhD student) in Parkinson's Disease Genetics and Genomic.

The Luxembourg Centre for Systems Biomedicine (LCSB) is an interdisciplinary research centre at the University of Luxembourg. LCSB develops and applies systems-level approaches to gain insight into the molecular and cellular mechanisms of human diseases. Experimental and computational approaches are combined to analyse the complexity of biological systems underlying disease pathogenesis. The LCSB is pioneering the way for a predictive, preventive and personalised medicine. Neurodegenerative diseases, especially Parkinson’s disease (PD) are major targets within LCSB’s research activities.

We seek a highly skilled doctoral student to work on an international and interdisciplinary biomedical research project on the identification of genetic risk factors for PD (PD) within the recently founded National Center for Excellence in Research on PD (NCER-PD, www.parkinson.lu) and the doctoral training unit PARK-QC - Molecular, Organellar and Cellular Quality Control in Parkinson's disease (https://wwwen.uni.lu/lcsb/doctoral_training_unit/park_qc).

Your Profile

  • Master’s degree (or equivalent) in Computational Biology, Bioinformatics, Human Genetics, Systems Biology or related disciplines.
  • Basic understanding of NGS genomics technologies and state-of-the-art bioinformatics software tools.
  • Good knowledge of human genetics, molecular biology, systems biology, computational modeling, or simulation.
  • Knowledge of at least one programming language (Python, Perl, C++, Java, etc).
  • Basic Linux/Unix skills.
  • Strong interest in interdisciplinary research and systems biology
  • Excellent working knowledge in English (additional language skills, particularly French or German, will be advantageous)
  • Excellent communication skills

Please apply online by submitting your cover letter indicating your motivation for this project, relevant experience and future interests, a full curriculum vitae, and a copy of the relevant diplomas until 31st January 2019.

For detail click here


PhD fellowship on evolutionary histories of fungal and bacterial antimicrobials

Department of Biology, Faculty of Science at University of Copenhagen is offering a PhD scholarship on evolutionary histories of fungal and bacterial antimicrobials in fungus-farming termites, commencing 01.04.2019 or as soon as possible thereafter.  The project will be based at the international research environment in the Social and Symbiotic Evolution Group at the Section for Ecology and Evolution within the Department of Biology. Research in the group cis highly interdisciplinary and combines the fields of evolutionary ecology, molecular microbiology, genomics, and metabolomics to address fundamental questions on how antagonistic (parasitic) and beneficial (mutualistic) microbial symbionts shape host ecology and evolution, how partners complement each other metabolically, and how host-symbiont associations defend themselves against exploitation.

The fellowship will be part of a five-year project titled Disease-free social life without antibiotic resistance, financed by an ERC Consolidator Grant. The application of antimicrobial compounds produced by hosts or defensive symbionts to counter the effects of diseases has been identified in a number of organisms, but despite extensive studies on their presence, we know essentially nothing about why these antimicrobials do not always trigger rampant evolution of resistance in target parasites.

Applicants should hold an MSc degree in biology or bioinformatics with good results and good English skills. As criteria for the assessment of your qualifications emphasis will also be laid on previous publications (if any) and relevant work experience.

The deadline for applications is 15. February 2019, 23:59 GMT +1.

For detail click here


Posted on January 09, 2019

PhD position in Bioinformatics

The Department of Cardiovascular Diseases is seeking a Bioinformatics PhD (m/f) - doctoral candidate - Extend our German Heart Center research team and enhance the scientific knowledge in the field of Coronary Artery Disease (CAD). We are part of different consortia with prestigious academic partner sites. Our scientific goal is to improve the understanding of atherosclerosis. Atherosclerosis is the main risk factor for myocardial infarction and stroke. We are looking forward to a responsibly acting person willing to learn and adapt to a highly dynamic and agile research environment.

Extend our German Heart Center research team and enhance the scientific knowledge in the field of Coronary Artery Disease (CAD). We are part of different consortia with prestigious academic partner sites. Our scientific goal is to improve the understanding of atherosclerosis. Atherosclerosis is the main risk factor for myocardial infarction and stroke. We are looking forward to a responsibly acting person willing to learn and adapt to a highly dynamic and agile research environment.

Major Tasks:
- Development and implementation of novel bioinformatics methods
- Programming and analyzing bioinformatics data with basic knowledge in Python, R and Java. Apply analytical and bioinformatics tools
- Integration, transformation and quality control of datasets. Carrying out statistical tests derived from medical, genetic and clinical research
- Learn to analyze different kinds of NGS/OMICs data
- You will work in an international, team-oriented, academically interconnected environment (we offer the opportunity to also learn from our national and international partner sites)

Key requirements:
- Studies of bioinformatics, biosciences, informatics or a comparable discipline
- Interest/knowledge in developing software and using bioinformatics tools, including such for analyzing and interpretation of high throughput data
- Interest/knowledge in data management and in sequencing
- Knowledge in genetics and systems biology is highly appreciated
- Statistical knowledge
- Ability to write and speak English well is a must, knowledge of German would be advantageous

For detail click here


PhD Student - Epidemiology

The Institute of Epidemiology (EPI) assesses genetic, environmental and lifestyle risk factors which jointly determine the occurrence of major chronic diseases. We focus on the development and progression of metabolic, respiratory and allergic diseases, as well as heart diseases and mental health. Our goal is to better understand the molecular underpinning of disease and to translate this knowledge into personalized approaches of prevention as well as policies to improve health. Our research builds on the unique resources of the KORA cohort and the birth cohorts GINI and LISA. We also play a central role in planning and setting up of the German National Cohort (GNC) and build the GNC biorepository.

  • You will join a highly motivated reasearch team in epidemiologic research, exploiting, among other resources, the large data bases of the German National Cohort and the KORA cohort
  • You will be supervised by experienced, and advanced scientists of the Institute of Epidemiology
  • You will have the chance to initiate or join collaborations with partners inside or outside the Helmholtz-Centre
  • You will participate in the Helena PhD Program of the Helmholtz Zentrum München and graduate from the LMU at the Chair of Epidemiology held by Prof. Peters
  • You will be able to participate in individual courses and / or PhD Programs at the LMU and TUM.

Your Qualifications

  • Excellent Masters or Diploma degree in Epidemiology, Public Health or related subject or equivalent experience and qualification
  • Excellent letter reference by former supervisor
  • Statistical expertise including state-of-the-art and innovative methods (such as causal inference or machine learning, or others)
  • First experience with meta-analysis and / or large complex data-sets
  • Passion for epidemiological research in multidisciplinary teams

For detail click here


Posted on January 07, 2019

PhD position in Molecular Biology

Uppsala University is a comprehensive research-intensive university with a strong international standing. Our mission is to pursue top-quality research and education and to interact constructively with society. Our most important assets are all the individuals whose curiosity and dedication make Uppsala University one of Sweden’s most exciting workplaces. Uppsala University has 42,000 students, 7,000 employees and a turnover of SEK 6.7 billion.

Project description: A PhD student position is available for a highly motivated individual with interest in vascular/developmental biology to join the laboratory of Dr. Taija Mäkinen at Uppsala University, Dept. of Immunology, Genetics and Pathology. Research in the lab focuses on understanding the regulation of the lymphatic vasculature in physiological and pathological conditions. The selected candidate will characterize mouse models of genetic lymphatic vascular diseases and study the underlying mechanisms by using a variety of molecular and cell biological approaches (including advanced microscopy, flow cytometry and RNA sequencing).

Qualifications: The applicant should have MSc degree in a relevant area (e.g. Molecular Biology). Experience with experimental research, in vivo work including tissue dissection, preparation and staining, as well as molecular and cell biology and (confocal) microscopy are required. Experience with image processing and analysis would be advantageous. Strong merit would be knowledge of vascular and/or developmental biology. Good skills in oral and written English are required.

Last application date 16.Jan.2019 11:59 PM CET

For detail click here


PhD position in Molecular Biotechnology

The Department of Chemistry seeks a motivated and enthusiastic PhD candidate to join the Research Group in Macromolecular Chemistry. The successful PhD candidate will become a member of an international and interdisciplinary research team focusing on applied research (https://uit.no/prosjekter/prosjekt?p_document_id=561318). Particularly this applies on characterization and development of enzymes originating from the arctic marine environment for use in molecular biology and diagnostic applications.

The PhD candidate will investigate and map residues involved in the mechanisms of substrate recognition and strand-displacement DNA synthesis of DNA polymerases. The main focus is on characterizing and designing new enzyme variants in order to understand regions and residues essential for strand-displacement DNA synthesis. The candidate will employ a variety of methods in macromolecular Chemistry (such as DNA mutagenesis, recombinant protein production and purification, enzymology and structural biology).

You must hold a Master’s degree or equivalent in molecular biotechnology, biochemistry or molecular biology, with an average of Norwegian equivalent grade of C or better. Both a strong academic record and a genuine interest in conducting research are essential to qualify for the position. This must be demonstrated by your Master’s thesis, academic record, and other application materials (see below). Personal suitability for the position will also be emphasized.

Jobbnorge ID 162521

Deadline Thursday, January 17, 2019

For detail click here


Posted on January 04, 2019

PhD Candidate in Bioinformatics (Metagenomics)

The Department of Chemistry seeks a motivated and enthusiastic PhD candidate to join the Molecular Biosystems Research Group. The successful PhD candidate will become a member of an international and interdisciplinary research team, which combines informatics, bioinformatics and experimental work to develop/implement tools, pipelines and databases for microbiome research. As a student, you will enter an international and collegial environment, and be enrolled in the Norwegian ‘BioCat graduate school in biocatalysis’, which provides top-level graduate courses in both scientific and transferable skills, arranges national PhD conferences and offers generous travel stipends for student research visits to collaborator laboratories (see https://site.uit.no/biocat/).

Qualifications
The candidate must hold a Master’s degree or equivalent in Bioinformatics or Computational Biology or equivalent, with an average of C or better according to the Norwegian system. Good academic performances, and a genuine interest and motivation for performing research are essential to qualify for the position. Relevant experience from work with metagenomic data is an absolute advantage. Finally, personal qualifications such as the ability to collaborate and work with others as well as being able to work independent will be emphasized.

Jobbnorge ID 162525

Deadline Thursday, January 17, 2019

For detail click here


Doctoral (PhD) student in occupational exposure to metals and its toxicity

The Institute of Environmental Medicine (IMM) is a department at Karolinska Institutet and an interdisciplinary research institution within the broad field of environmental medicine. IMM conducts cutting edge research within the areas of environmental and occupational medicine, toxicology, physiology, epidemiology, and biostatistics with the aim to clarify how environmental and lifestyle factors affect our health and which role genes have. IMM also serves as a scientific advisor to public authorities within the area of environmental medicine and IMM scientists participate in national and international expert groups.

The PhD student is expected to have a very strong interest in biomedical research and have a documented experience of genetic and toxicological methods. The student will actively participate in the research by performing genetic, epigenetic and toxicological analyses on collected human samples (blood, urine, tumours) and primary lung cells. Further, the student will perform bioinformatic analysis and critically evaluate, compile and present the results, both in writing and orally. In the longer term, the PhD student will work independently to formulate new hypotheses and present and discuss the results and hypotheses in large and small groups. The graduate program will be done in a creative environment in close cooperation with other PhD students, post docs and researchers.

Last application date 16.Jan.2019 11:59 PM CET

For detail click here


Posted on January 02, 2019

Doctoral (PhD) student position in Immunotherapy

At the Department of Oncology-Pathology basic, translational and clinical research and educational activities related to cancer is carried out. Approximately 300 people from over 40 nations are currently working at the department. About 30 research groups with various cancer research profiles are involved and we have around 110 PhD students. The Department of Oncology-Pathology is responsible for undergraduate courses in Pathology, Oncology and Forensic Medicine for medical students, as well as for Tumor biology courses for biomedicine students and Pathology courses for opticians.

The overall aim is to build on these clinical results and improve ACT for patients with metastatic melanoma and furthermore extend these findings to other solid cancers. The candidate will have several projects aiming to improve and refine the cell product used to treat patients with a metastatic disease to achieve a better anti-tumour response and a better clinical outcome. This will include projects involving identification of tumour-specific mutations, neoantigens, and how to use these for a better expansion of tumour specific T cells. In addition, the candidate will also be involved in project aiming to develop an efficient, specific and harmless strategy for making cytotoxic cells (T cells and/or NK cells) resistant against tumor- or therapy related stress response (reactive oxygen species).

Skills and personal qualities We are seeking a highly talented and enthusiastic doctoral candidate with a M.Sc. degree and a background in immunology and documented experience in cell culture, flow cytometry, isolation and expansion of cytotoxic immune cells and experience in in vitro assays used to study T and NK cell function (such as degranulation assay, chromium release assay, ELISA). Basic knowledge in immunology is a must and theoretical and practical knowledge regarding oxidative stress and related assays is preferable. Experience in PCR and/or western blot is a merit.

Last application date 10.Jan.2019 11:59 PM CET

For detail click here


PhD candidate 'pediatric endocrine disease'

Congenital adrenal hyperplasia (CAH) is the most common inherited disorder affecting adrenal steroid synthesis. The clinical presentation depends on the severity of the enzyme deficiency with -in the most severe cases- complete cortisol and aldosterone deficiency causing an Addisonian crisis within the first weeks of life and prenatal virilisation of the affected females. The accumulation of steroid precursors before the enzymatic block serves as a diagnostic marker for CAH.

The first aim of this project is to study the etiological features of TART in CAH patients. The PhD candidate will perform transcriptome profiling using RNA-sequencing (RNAseq) to compare the expression profiles of pooled RNA samples of TART, with available fetal and adult normal adrenal and testis tissues. Using Ingenuity Pathway Analyses and other applicable bioinformatics analyses the PhD candidate will identify putative TART-inducing mechanisms, which will also include drugable pathways that could eventually be used for prevention of TART development.

Requirements

The ideal candidate fulfils the requirements:

  • Master degree in Medical Biology, Molecular Life Sciences, medicine or equivalent;
  • Experience with bioinformatics, statistics, immunohistochemistry, modelling;
  • Strong motivation to succeed in scientific research;
  • Be able to work in a team;
  • Fluent in English;
  • Independent and well-structured working style.

For detail click here


Posted on December 31, 2018

MRC 4 Year PhD Studentships In Life Long Health

This 4-year PhD programme offers an exciting opportunity for outstanding graduates to undertake research into health across the life course. The first year is spent enhancing your scientific skills through three mini-projects with different supervisors who are based at or affiliated with the LHA. The subsequent three years are spent on your chosen PhD research project.

The MRC Unit for Lifelong Health and Ageing at UCL (LHA) is offering a new 4 year PhD programme for outstanding students across a range of different research topics. The mission of the LHA is to identify biological and social factors that affect lifelong health, ageing and the development of chronic disease, and to use findings to design and test interventions that enhance healthy ageing. The MRC National Survey of Health and Development (NSHD) is the core resource for this work. NSHD is a birth cohort established in 1946 with frequent follow up, and is enhanced by multidisciplinary collaboration with other national birth cohorts and population cohorts. We further aim to exchange knowledge gained with policymakers, health practitioners and other research users, and promote public understanding of healthy ageing.

During the PhD programme students will be encouraged to take part in taught methods and statistics courses, weekly student-run seminar series and present their findings at national and international conferences.

Research areas

  • Cardiology/cardiovascular science
  • Musculoskeletal metabolism
  • Acute illness and chronic function
  • Genetic epidemiology or bioinformatics
  • Quantitative social science
  • Neurovascular imaging
  • Chronic disease epidemiology
  • Life course statistics and/or causal analysis

For detail click here


PhD Position in Biomedical Engineering

Within the Gerontechnology and Rehabilitation Group, clinicians, psychologists, and engineers collaborate with a goal to develop and evaluate assistive and rehabilitative technologies to enhance autonomy and promote independent living in the elderly and patients.

We are seeking a motivated PhD student to develop and implement tele-rehabilitation applications for both clinical and home settings. The main tasks of the PhD thesis include software development of a new (tele-)rehabilitation system for speech therapy and cognitive training. The candidate will work in close interaction with clinicians, nurses, therapists, patients and caregivers for design specifications and evaluation of the new system.

For this position, we are looking for a dynamic and self-motivated person with a master's degree in computer science, bioinformatics, information technology and/or biomedical engineering. Interest to collaborate with an interdisciplinary team of clinicians, engineers, neuroscientists, and willingness to interact with patients is important.

For detail click here


Posted on December 28, 2018

PhD position : Deep learning to mine genomics datasets

Location: Oxford Brookes university (Department of Biological and Medical Sciences)

High throughput experiments that generate complex/ information rich datasets are increasingly found in biology. However, to fully mine and visualise these datasets it is necessary to make use of computational methods using various bioinformatic approaches. One area that holds great promise for dealing with these high throughput biological datasets is that of deep learning. Deep learning has produced a great leaps in performance for a number of computational tasks, but has only recently started to be trialled in the biological community. Concurrent with improvements in Deep learning we are also seeing rapid improvements in technologies such as single cell sequencing, powered by large projects such as the Human Cell Atlas.

This technology provides expression data for hundreds of thousands of cells which can be used to help characterise various biological systems. This can be done for whole organisms, across developmental time courses or between sub-regions of tumours. These new single cell datasets when combined with novel deep learning methods is likely lead to great advances in our understanding of cell biology and evolutionary/ developmental processes. In this PhD we will make use of publicly available single cell datasets and develop novel deep learning strategies to fully utilise them for various biological questions.

The research will have a focus on knowledge discovery in developmental processes and diseases such as cancer. Another focus will be to build systems capable of harnessing the large datasets even when only unlabelled data is available. Apart from biological knowledge discovery the project will also generate novel tools that could then be applied by the research community more generally to a wider range of datasets. The project will be suitable for a student with either a computational or biological background and a willingness to explore this exciting new frontier in biology.

For detail click here


3-year PhD Studentship – Identifying metabolic biomarkers

When muscle is lost in ageing and disease, clinical outcomes are significantly impacted since loss of muscle mass impairs not only locomotory function but also whole-body metabolic health. As such there is a strong relationship between low muscle mass and increased disease risk and mortality outcomes in both healthy ageing and diseases associated with severe wasting. Early identification of those at risk of greatest musculoskeletal decline is important to ensure optimal interventional strategies can be implemented at an early stage to prevent and/or delay muscle wasting in these individuals, thereby maintaining musculoskeletal health for longer and preventing related disease risk. This studentship will use novel analytical techniques (metabolomics) to identify unique metabolite signatures of musculoskeletal decline in both healthy ageing (sarcopenia) and disease (cachexia), so that at risk individuals can be stratified accordingly.

This studentship is a 3-year funded studentship through the MRC-ARUK Centre for Musculoskeletal Ageing Research (CMAR). Students should have home or EU status: and have been 'ordinarily resident' in the UK for 3 years prior to the start of the studentship to be eligible for the full award (tuition fees, research support costs, and a tax-free stipend at the Research Council rate). Applicants who have been 'ordinarily resident' in another EU member state may be eligible for a fees only award. Please see RCUK terms and conditions for further information.

Applicants should have a strong background in physiology and metabolism, and ideally a background or knowledge of the application of mass spectrometry to understanding metabolism. They should have a commitment to research in ageing and musculoskeletal metabolism and hold or realistically expect to obtain at least an Upper Second Class Honours Degree in Biochemistry or Physiology or a relevant subject.

Closing Date: Thursday 31 January 2019

Reference: MED1514

For detail click here


Posted on December 26, 2018

PhD nutrition, heart disease and kidney function

We are looking for a candidate for a four-year PhD trajectory in our project on the prediction of kidney function decline and mortality in post-myocardial infarction (MI) patients. Kidney function decline is strongly associated with preterm mortality in post-MI patients, but it is still unclear why. In this project we focus on nutritional and molecular aspects in the prediction and aetiology of kidney function decline in this specific patient group. With this research we expect to define risk profiles for post-MI patients and their risk for kidney function decline and preterm mortality.

We aim to combine advanced epidemiological analyses for risk factors (including nutrition and lifestyle) with biomarkers and ‘omics’ analyses. The research project includes important methodological challenges regarding the combination of classical risk factors with biomarkers and ‘omics’ data, within the context of epidemiological research. Therefore, experience with human molecular data and with epidemiological research is preferred.

For this position we request that the candidate:
- has an MSc degree in (clinical, nutritional or molecular) epidemiology, biomedical sciences, nutrition, bioinformatics, or a related field;
- has experience with writing scripts in SAS or R;
- works in an independent and self-motivated manner;
- is fluent in the English language

You can apply online at http://www.wur.nl/en/Jobs/Vacancies.htm until 15 January 2019.


MRC -funded IMPACT (Integrated Midlands Partnership for Biomedical Training ) Doctoral Training Partnership 3.5 Year PhD Studentship

Leicester Cancer Research Centre (College of Life Sciences) and Department of Informatics (College of Science and Engineering) Supervisors: Dr David Guttery (Leicester Cancer Research Centre) Dr Huiy u Zhou (Department of Informatics) and Professor Jacqui Shaw (Leicester Cancer Research Centre)

This cross- College studentship aims to develop a machine -learning approach for accurately identifying oncogenic pathway activation and predicting survival in patients with breast and endometrial cancer. Breast and endometrial cancers are the two most com mon cancers in women in the UK, with a significant impact on lives and healthcare. Genetically, both diseases are highly heterogeneous with complex aetiologies, making prognosis and prediction of relapse challenging.

Closing date for applications 20 th January 2019

For detail click here


Posted on December 24, 2018

PhD Position in Functional Proteomics in Cancer Precision Medicine

The candidate will be employed at the Department of Biochemistry and Molecular Biology at SDU and will be enrolled in the department's PhD programme under the supervision of Prof. Ole N. Jensen.

The research project aims to develop novel approaches for early cancer detection and diagnostics by using advanced mass spectrometry and proteomics approaches. The project entails the characterization of proteins and proteomes in human kidney tissue and renal cell carcinoma tumor tissue from patients, including also protein post-translational modifications (e.g. protein phosphorylation). The candidate will develop and apply LC-MS based technologies and use advanced bioinformatics/statistics tools to characterize and identify molecular features of renal cell carcinomas in the context of precision medicine.

We are seeking outstanding candidates with documented experience in protein biochemistry and functional proteomics in the context of biomedicine. Expertise in protein mass spectrometry including LC-MS is a requirement. Candidates will be part of an international research group, and good interpersonal skills and fluency in the English language (reading/writing/speaking) are a requirement.

For detail click here


PhD Student Position in Machine Learning for Patient Data Analysis

This project is a joint collaboration between the Johns Hopkins University (JHU; Baltimore MD, USA) and the HMGU (Munich, Germany). The primary location for our team is at the HMGU Munich center. Our team members will have opportunity to visit and work with faculties and researchers at the Johns Hopkins University and Hospital.

Our goal is to model, predict, and find causal factors related to the outcomes of interest, such as length of stay, prolonged intubation, blood transfusion, and renal failure. In addition to project-specific work, you will have the opportunity to mentor students at the graduate and undergraduate level, and may initiate and pursue research on supplemental ideas in collaboration with faculty aligned with their interests.

Your Qualifications

  • MSc or PhD degree in computer science, statistics, mathematics, data science or equivalent
  • Strong background in machine learning (graphical models, Bayesian and neural networks), statistics, and preferably causal inference methods
  • Knowledge of and/or experience with time-series data, preferably clinical data
  • Programming expertise in Python, R, and SQL
  • Interest and/or experience in working with healthcare problems (particularly surgical procedures)
  • Demonstrated skill in scientific writing

For detail click here


Posted on December 21, 2018

PhD Student Positions in Life sciences

Laboratory of Protein Structure at the International Institute of Molecular and Cell Biology (IIMCB), Warsaw, headed by Marcin Nowotny, is looking for a PhD student. We are looking for a person motivated to develop a career in an interdisciplinary and international team studying the mechanisms of DNA repair. As a PhD Student you will be involved in production of protein using different expression systems, purification of proteins, crystallization and structure determination by crystallography and/or cryo-EM.

The laboratory is located in the International Institute of Molecular and Cell Biology in Warsaw (www.iimcb.gov.pl) – one of the top-ranked (A+) Polish research institutes, that provides stimulating and interdisciplinary research environment and opportunities of the large biomedical campus. Research topics at IIMCB cover the wide area of structural biology, bioinformatics, computer modeling, molecular and cell biology, neurobiology, cancer biology, and developmental genomics (zebrafish model). The Institute is equipped with state-of-the-art technology, has excellent core facilities and supportive administration. IIMCB benefits from numerous generous funding schemes for basic research through grants from international and national sources www.iimcb.gov.pl/en/research/grants.

Requirements:

• Master’s degree (or equivalent) in life sciences or related area (defended before contract starting date)
• Eligibility for PhD studies in Poland under the supervision of prof. Marcin Nowotny
• Documented laboratory experience in at least one of the following disciplines: biochemistry, structural biology, molecular biology
• Very good written and oral communication skills in English
• A proactive approach to achieving tasks and objectives, good interpersonal skills, collaborative attitude

Deadline for applications is January 2nd, 2019. Job starting date is March 2019.

For detail click here


PhD student in Microbial Electrochemical Conversion of Syngas

The Department of Biology and Biological Engineering was founded January 1 2015, and started off with high ambitions. The aim was to grow and become a leading center of innovation by combining the latest research in life sciences with biochemistry. And the department got off to flying start. In its first year, the numbers for publication, citation and external funding have been excellent.

Information about the division The PhD position is placed at the Division of Industrial Biotechnology within the Department of Biology and Biological Engineering at Chalmers University of Technology. The Industrial Biotechnology group is a young, dynamic and international group of researchers established in 2008 and counts now around 40 members. The common denominator of the research activities in the group is to optimize the use of renewable raw materials for the sustainable production of fuels, chemicals and materials within the main concept of biorefinery.

Qualifications The candidate must hold a MSc degree in Biotechnology/Bioengineering, Synthetic, Systems or Molecular Biology, Microbiology or other related disciplines. The successful candidate has knowledge on molecular biology and some lab practice as well as some knowledge in bioinformatics. Previous experience in working with RNA-sequencing data analysis, anaerobic bacteria or bioelectrochemistry is a strong merit.

Application deadline: 31 January 2019.

For detail click here


Posted on December 19, 2018

Graduate student in computational biology and bioinformatics

Research in our laboratory is focused on the discovery and analysis of genomic variants and their relevance to diseases. Of particular interest are large variants, such as, deletions and duplications of thousands and millions of nucleotides in individual genomes. Special emphasis is on the discovery and analysis of somatic variants — those originating in human cells during their life span — as these can cause cancer and various diseases.

Focus areas

  • Genomic variant discovery from sequencing
  • Prediction of variant function and impact
  • Somatic variations and single cell genomics Cancer genomics

Graduate students (M.S or Ph.D.) wishing to conduct research in the Abyzov lab at Mayo Clinic are invited to contact Dr. Abyzov (abyzov dot alexej at mayo dot edu). The choice of the project will depend on the applicant's interests and skills. However, the research must be purely computational and focus on one of the following main fields of computational biology: population/personal human omics, cancer omics, single cell and somatic omics, and the analysis of next-generation sequencing data. Specific sub-areas of interest are discovery, annotation, and the functional annotation of human genomic variants such as SNPs, SNVs, indels, structural variations, retrotransposition, etc.

For detail click here


Funded PhD  - Epigenetics and Inflammatory bowel disease

Despite on-going efforts approximately 40% of patients with chronic inflammatory bowel disease - Ulcerative Colitis (UC) fail to respond to standard-of-care biologic treatment. This thereby presents a significant unmet clinical need that requires to be addressed. The DETECT program is a distinct and innovative consortium of experts from clinical, academic and industrial sectors. Within DETECT, using novel genome-wide next generation sequencing approaches to map the epigenome of inflamed tissue, coupled with leading-edge systems modeling we aim to identify DNA methylation biomarker signatures to predict response to biologic treatment in UC and examine the potential for DNA methyltransferase inhibitors as a new approach to UC therapy.

This research program provides a unique training environment to the PhD candidate by providing excellent training in state-of-art skill sets encompassing both wet-lab and bioinformatic approaches, through interaction with the various academic, industrial collaborators and clinical partners. In addition, the student will be encouraged to participate in the various outreach activities organized within the programme as well as present his/her work at both national/international meetings.

The successful candidate should be able to demonstrate the following:

Essential:

  • An Bachelor or Master’s degree (minimum grade 2.1 or above) in Biological sciences/molecular biology/genetics or Bioinformatics
  • Good communication skills
  • Strong organisational and administrative skills
  • Ability to work on one’s own initiative as well as in a multidisciplinary, team environment
  • Willingness to undertake training and career development
  • English language requirements for candidates who do not speak English as their first language: an IELTS score of 6.5 or above

For detail click here


Posted on December 17, 2018

MRC PhD studentships – MRC DiMeN Doctoral Training Partnership

Using the combined expertise of four world leading institutions, the Discovery Medicine North (DiMeN) partnership http://www.dimen.org.uk/ will train the next generation of researchers to tackle the major health problems facing the population. The partner institutions (Universities of Leeds, Liverpool, Newcastle and Sheffield) are core member of the Northern Health Sciences Alliance, which confronts stark North-South disparities in the rates of chronic disease, poor health and early death in a population of >15 million.

Over 70 projects are being offered across the Partnership, 32 of which will be funded via a studentship. The broad themes are:

  • genetic influences on health
  • ageing and disease
  • bioinformatics and personalised medicine

Eligibility Criteria
You should be someone with an outstanding academic track record and can demonstrate your potential for the research project of your choice. You must hold (or be about to obtain) a First or good 2:1 undergraduate Honours degree, or a suitable qualification at Masters level, in biosciences or related sciences. The multidisciplinary training experience and interdisciplinary nature of some of the projects means that we welcome applications from students with physical sciences and mathematical backgrounds. These studentships are available to UK/EU applicants only.

For detail click here


Marie Sklodowska-Curie PhD student position at Karolinska Institutet in Nanomedicine

Research group The research group of Ana Teixeira (https://ki.se/en/mbb/ana-teixeira-group) is part of the Division of Biomaterials (https://ki.se/en/mbb/research-division-of-biomaterials) at the Department for Medical Biochemistry and Biophysics (https://ki.se/en/mbb/startpage), located at the newly built Biomedicum research laboratory (https://ki.se/en/staff/biomedicum) at the Solna campus of Karolinska Institutet, Sweden. The group uses a multi-disciplinary approach integrating biophysics, DNA nanotechnology, cell biology and animal models to understand the roles of spatial organization in biological systems.

NANOSTEM is a multidisciplinary and innovative project that investigates approaches to drug delivery targeting specifically neurogenic niches (https://www.nanostem.qmul.ac.uk). It brings together academic and industrial teams with interdisciplinary fields of expertise ranging from nanotechnology, in vitro Blood Brain Barrier (BBB) models, neural stem cell (NSC) biology, animal testing and clinical research. The NANOSTEM network is formed by 9 internationally recognised research institutions, complemented by 5 partner organisations that will contribute to the research training programme.

Skills and personal qualities
Candidates should have a master's degree in Biomedical Sciences or Engineering Sciences (or a similar degree) with background knowledge in nanotechnology and cell biology. Previous experience with animal research is desirable but not a requirement.

Last application date 04.Jan.2019 11:59 PM CET

For detail click here


Posted on December 14, 2018

Ph.D. Student in Biomedical Data Science

The Chair for Methods in Medical Informatics (Prof. Dr. Nico Pfeifer), Department of Computer Science at Eberhard Karls University Tübingen, one of eleven German universities distinguished as excellent under the German government’s initiative, is currently looking for a Ph.D. Student in Biomedical Data Science (H I V) (E13 TV - L, 65%) starting as soon as possible. The init ial fixed - term contract will be for 3 years with possible extension. The position is funded by the Machine Learning Competence Center Tübingen (TUE.AI Center) .

The group has extensive knowledge at the interface between statistical machine learning, digital medicine, and computational biology. Nico Pfeifer is a PI in the excellence cluster “Machine Learning: New Perspectives for Science” starting in January 2019. We are developing methods that allow answering new biomedical questions (Speicher and Pfeifer 2015, Proceedings of ISMB/ECCB 2015) and optimize them in close contact with our excellent national and international bio medical partners (Carlson et al. 2016, Na ture Medicine, Schoofs et al. 2016, Science, Döring et al. 2016, Retrovirology, Mendoza et al. 2018, Nature ).

The ideal candidate will have a n M.Sc. or equivalent in Biom edical Data Science, Biometry, Biostatistics , Bioinformatics, Medical Informatics, Computer Science , Computational Biology or a related life science discipline. A pplicants should have an interest in interdisciplinary work. Experience in data science and machine learning as well as strong programming/scripting skills (C/C++, R, Matlab, Python, JavaScript, Java) are desirable. Other relevant qualifications include:

  • Background in Statistics
  • Knowledge of the adaptive immune system (especially humoral immune response)
  • Experience with medical data (clinical data, molecular data, ...)
  • Experience with high - throughput data (next - generation sequencing)
  • Databases (MySQL, NoSQL)

Application deadline: December 21 st , 2018 .

For detail click here


PhD position i n Bioinformatics and Statistical Genetics

Imagine is an interdisciplinary research center focused on human rare genetic diseases located at the Necker Hospital campus in the heart of Paris. Imagine is an INSERM research unit (UMR - 1163), and is affiliated to t he Université Paris Descartes (Sorbonne Paris Cité ) and the Paris Public Hospital Group (Assistance Publique - Hôpitaux de Paris). The Clinical Bioinformatics Laboratory of the Imagine Institute , under the direction of Dr. Antonio Rausell, develops statistic al methods and bioinformatics pipelines with a clinical focus . A main research line of the laboratory is the c omputational assessment of human rare genetic variants with a potential clinical impact and its application to the study of specific rare disease s.

In this context, the Clinical Bioinformatics lab is seeking a PhD student to develop computational methods and pipelines for Whole Genome Sequencing analyses of multi - cohort studies of rare diseases currently ongoing at the I magine Institute. The project will integrate clinical phenotypes from heterogeneous disease cohorts and multi - omics datasets derived from patient’s samples (mainly RNA - seq and Hi - C) . Methodological research will focus on the analysis of de novo var iants (f rom trios), mutational burden, non - coding variants with potential regulatory consequences and on modifier variants/genes. Research will be performed in a highly interdisciplinary environment and in close interaction with clinical and experimental teams at the Imagine/Necker Hospital.

A pplicants should have a PhD / M Sc in Bioinformatics, Computational Biology, Computer Science, Biostatistics, Statistical Genetics, Mathematics or similar. Previous experience in WGS/WES, large - scale ‘omic s’ data analyses and strong data analyses skills will be a plus . We are looking for knowledgeable candidates with versatile skills, with an eye on basic science and another on translational applications in the clinic. The position s will require a constant interaction with computational, experimental labs, platforms and clinicians.

For detail click here


Posted on December 12, 2018

PhD scholarship in Immunoinformatics and Machine Learning

DTU Bioinformatics has its main research and teaching activities in bio-medical and bio-technological informatics, metagenomics, epidemiology, integrative systems biology and machine learning. The research at DTU Bioinformatics is focused on bioinformatics and computational analyses of large amounts of data generated within biological, biomedical and biotechnological and life sciences area. We strive to gain new knowledge and drive innovation in human, animal, plant and food science and collaborate with all relevant industries. A cornerstone in achieving this is the dedicated effort within DTU Bioinformatics to develop bioinformatics, immuno-informatics, metagenomics and systems biology methods and solutions to the challenge of handling and interpreting large scale and heterogeneous big data.

Responsibilities and tasks 
The PhD student will primarily be:

  • Investigating the rules of MHC antigen presentation on the cell surface 
  • Investigating the ways T and B cell receptors recognize their cognate epitope targets 
  • Using the knowledge to develop improved methods for rational epitope discovery 

The tools used in the project will by focused around conventional and deep neural networks.

Qualifications
Candidates should have a master's degree in bioinformatics, biology, computer science, engineering, or a similar degree with an academic level equivalent to the master's degree in engineering.

In addition, you should be able to exhibit the following personal and professional qualifications:

  • Strong computational skills and experience with Unix/Linux command line environments, as well as Python, Perl, R, C or a comparable scripting language
  • Background within machine learning, bioinformatics and structural biology
  • In depth understanding of the basic concepts of the cellular immune system
  • Strong communication skills in written as well as spoken English
  • Flexibility and a general positive attitude to changes 
  • Capability of taking personal responsibility for your work and your results 

Please submit your online application no later than 4 January 2019 (local time).

For detail click here


PhD positions in Biosience

BioToP offers an inter- and multi-disciplinary research-based doctoral education at the interface of basic and applied science in the field of protein biotechnology. BioToP offers a challenging scientific environment with state-of-the-art facilities and provides comprehensive and thorough up-to-date research training in the fields of:

 . structure-function analysis, engineering and design of proteins

· protein synthesis, targeting and post-translational modifications

· expression systems and cell factories

· bioinformatics and molecular modelling

Highly qualified and motivated students of any nationality are invited to apply for the 3-year studentships. Funding will be according to the salary scheme of the Austrian Science Fund. Additionally students will receive funding for research stays abroad and for the participation at international conferences.

Application deadline: February 13th, 2019

For detail click here


Posted on December 10, 2018

Doctoral student in Micro and Nanotechnology for Biomolecular Sequencing

KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy.

Next-generation DNA sequencing approaches are vital for enabling fast and inexpensive sequencing of the genome of individual patients. However, current sequencing techniques are still too slow and expensive for sequencing genomes for healthcare practice on a large scale. There is also a need to expand high throughput analytics of clinical samples beyond DNA and identify native RNA as well as peptide sequences. This doctoral project is a part of a consortium at KTH, with an interdisciplinary expertise in nanofabrication, microfluidics, signal processing, gene technology and clinical biomarkers.

The successful applicant is expected to hold a M.Sc. degree in engineering physics, biochemistry, analytical chemistry, material science, or a corresponding degree from a major university. Specializations in micro and nanosystem technology, surface science, bioanalytical methods and bioinformatics.

Reference number J-2018-2893

Last application date 09.Jan.2019 11:59 PM CET

For detail click here


Doctoral (PhD) student position in Developmental Neurotoxicity Focusing on Endocrine Disruptors

The Institute of Environmental Medicine (IMM) is a department at Karolinska Institutet and an interdisciplinary research institution within the broad field of environmental medicine. IMM conducts cutting edge research within the areas of environmental and occupational medicine, toxicology, physiology, epidemiology, and biostatistics with the aim to clarify how environmental and lifestyle factors affect our health and which role genes have. IMM also serves as a scientific advisor to public authorities within the area of environmental medicine and IMM scientists participate in national and international expert groups.

The doctoral education project and the duties of the student The main focus of this PhD project is to develop cellular and epigenetic readouts for developmental neurotoxicity into robust methods for EDC testing. The student will use a variety of methods such as cultivating and differentiating mammalian cells, high content imaging, gene expression analysis using real-time PCR, genome-wide and targeted DNA methylation analyses in cells, animal and human tissue as well as bioinformatic and statistical methods for data analysis. In addition, the PhD student is expected to draft scientific articles and participate and present at scientific meetings, in particular the annual ENDpoiNTs project meetings.

Skills and personal qualities We are looking for a talented, social and highly motivated student who is interested in the field of endocrine disruptors. On top of fulfilling the general entry requirements for doctoral education at Karolinska Institutet, the successful candidate has a background in toxicology, molecular or cellular biology, biochemistry, biomedicine or other suitable areas. Previous experience in working with mammalian cell models and molecular biology methods is required. Background knowledge in (developmental) neurotoxicity and/or endocrine disruption research as well as experience with high content imaging, DNA methylation analysis, statistical and bioinformatic analyses is a merit. As the work will be carried out in an international interdisciplinary environment, good oral and written communication skills in English as well as good collaboration skills are required.

Reference number 2-6508/2018

Last application date 20.Dec.2018 11:59 PM CET

For detail click here


Posted on December 07, 2018

PhD position with specialization in Genomics and Bioinformatics

Uppsala University is a comprehensive research-intensive university with a strong international standing. Our mission is to pursue top-quality research and education and to interact constructively with society. Our most important assets are all the individuals whose curiosity and dedication make Uppsala University one of Sweden’s most exciting workplaces. Uppsala University has 42,000 students, 7,000 employees and a turnover of SEK 6.7 billion.

The goal of this PhD-student project is to study the evolution of microbial genomes using bioinformatics methods. More specifically, the aim is to study the processes that drive the evolution larger genomes and higher levels of cellular complexity. All living organisms have traditionally been divided into two main groups based on their cellular characteristics: prokaryotes (without nucleus) and eukaryotes (with nucleus). However, a recently discovered group of organisms, called the Planctomycetes, have membrane structures that resemble those of eukaryotes, despite being prokaryotes as defined genetically. To understand how this complexity has originated, the PhD student will perform comparative genomics and bioinformatics studies.

The candidate should have a Master of Science degree in Biology with specialization in bioinformatics, microbiology or related subject areas that the employer considers equivalent.. The candidate should be able to work well as part of a team but also independently, and be proficient in both written and spoken English.

Reference number UFV-PA 2018/4027

Last application date 14.Jan.2019 11:59 PM CET

For detail click here


PhD student  in biochemistry and informatics

The Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP) belongs to the „Forschungsverbund Berlin e. V. (FVB)“. The FVB is an institution of eight natural sciences research institutes in Berlin funded by the Federal Republic of Germany and the association of its federal states. The research institutes are members of the Leibniz association. The Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP) is a non-university academic research organisation dedicated to basic biomedical research and is located at the Research Campus Berlin Buch in close vicinity to the Max Delbrück Center for Molecular Medicine and the Charité Experimental and Clinical Research Center.

Our group is interested in developing and applying tools to characterize the complexity of protein interactions within the cell. We use multi-disciplinary approaches that combine proteomics, cross-linking mass spectrometry, molecular biology, structural biology and bioinformatics to investigate the organizational aspects of protein assemblies and their biological consequences in various organelles.

For PhD students, the candidate should have a master degree in chemistry, biochemistry or relevant fields. For postdocs, the candidate should have a PhD degree in analytical chemistry, biochemistry or relevant fields. He/She should have strong expertise in programming, preferably also with basic knowledge in mass spectrometry.

(Ref. 36/2018)

Please upload complete application documents only as a single merged PDF-file including CV, copies of degree certificates and the names and contact information of two referees before December 15th, 2018

For detail click here


Posted on December 05, 2018

PhD position in Computational Molecular Science

The focus of this project will be the design of novel pain-killers targeting the mu-opioid receptor. The PhD research activities will employ Bioinformatics and Molecular Dynamics simulations as well as Cheminformatics. The project is in joint collaboration with Grünenthal GmbH and Vietnam National University (KeyLab for Multiscale Simulations).

The PhD position will be located at the Institute of Neuroscience and Medicine at the Forschungszentrum Jülich, Germany. It offers a highly cross-disciplinary environment due to a strong collaboration with the RWTH Aachen University, Germany.

Your Profile:

  • Master degree in Physics, Chemistry, Bioinformatics or a related field.
  • Experience in theoretical (Bio-)Chemistry and/or in Physics
  • Basic knowledge of computational biology techniques as well as Unix operative system is highly appreciated
  • Good spoken and written English
  • Communication and teamwork skills
Advertising division: IAS-5 - Computational Biomedicine
Reference number: D170/2018, Physics, Chemistry, Bioinformatics
Application deadline: December 20, 2018. 

PhD positions on RNA Folding Dynamics

Founded in 1614, the University of Groningen enjoys an international reputation as a dynamic and innovative centre of higher education offering high-quality teaching and research. Flexible study programmes and academic career opportunities in a wide variety of disciplines encourage the 30,000 students and researchers alike to develop their own individual talents. As one of the best research universities in Europe, the University of Groningen has joined forces with other top universities and networks worldwide to become a truly global center of knowledge.

We are looking for talented and enthusiastic molecular biologists or biochemists for a fully funded 4-year PhD position. The PhD candidates for this project will be working at the RNA Folding Dynamics group led by Dr Danny Incarnato, which is embedded in the GBB Molecular Genetics research unit that is headed by Prof. Oscar Kuipers.

Qualifications

The ideal candidates must be highly motivated, hardworking, ambitious, creative, and really enthusiastic about RNA and also interested in doing both wet-lab experiments complemented with bioinformatics. They will have the following required qualifications:

• MSc degree with specialization in molecular biology, biochemistry, or related disciplines
• experience with experimental molecular research
• excellent command of the English language
• ability to work independently and in a team.

Preferred:
• experience on RNA biology and Next-Generation Sequencing
• knowledge of UNIX/Linux computing environments and of a programming language (Perl, Python, Ruby, C++).

For detail click here


Posted on December 03, 2018

Doctoral Researcher in Bioinformatics

The Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute – (HKI, www.leibniz-hki.de) investigates the pathobiology of human-pathogenic fungi and identifies targets for the development of novel natural product-based antibiotics. The Research Group Systems Biology and Bioinformatics invites talented and highly gifted candidates to apply for a Doctoral Researcher (m/f) in Bioinformatics in the domain of genomics and/or metabolic modelling to develop novel therapeutic treatments for human diseases. The position is starting on 1st of April 2019 or soon after for three years.

The Systems Biology & Bioinformatics (SBI) group of Leibniz Institute for Natural Product Research and Infection Biology, Hans Knöll Institute Jena, Germany, is seeking one PhD candidate in the domain of genomics and/or metabolic modelling to develop novel therapeutic treatments for human diseases. SBI is active participant of several national and international collaborative efforts to tackle infectious diseases. The successful candidate is expected to lead bioinformatics projects and develop bioinformatics pipelines for understanding infectious processes by pathogens.

Your profile: A strong interest in conducting collaborative research on the topic outlined above is paramount. Candidates are expected to be interested in working at the boundaries of several research domains.

  • MSc degree in Systems Biology, Computational Biology, Bioinformatics, Biophysics, Computer Science or a related discipline.
  • Knowledge and experience in the analysis of biological high-throughput data.
  • Knowledge in statistical methods in the context of biological systems.
  • Experience with programming (Python, Perl, C++, R).
  • Well-developed collaborative skills.

Complete applications in English should include a letter of interest, curriculum vitae, a complete list of publications, brief statement of research experiences, a list of three potential references, full academic record (copies of degree certificates), and should be submitted by December 31, 2018 via the online application system.


PhD position in Computational Biology

The European Institute of Oncology (IEO) is one of Europe’s leading cancer research institutes. The Department of Experimental Oncology (DEO) is located on the IFOM-IEO campus in a central location of Milan. It hosts an international and vibrant research community. The IEO provides postgraduate education through the European School of Molecular Medicine SEMM with a PhD program in Systems Medicine (including a computiational biology track). The IEO has an excellent HPC infrastructure and a growing computational biology community.

We are hiring two early-career scientists with a strong computational background. We are looking for talented and interested candidates on either pre- or postdoctoral level (PhD students and PostDocs). Candidates should have expertise in statistics, programming and the analysis of omics data (ideally from tumor samples). Projects will be in collaboration with experimental groups and therefore require cross-disciplinary skills.

Predoctoral candidates will be first hired on a temporary fellowship and are expected to apply to the SEMM PhD call 2019. PostDocs will receive a three year fellowship (1+2). The aim of the open positions is to further the understanding of cancer evolution by developing methods that allow to identify epigenetic cancer driver events and applying these methods to experimental and clinical data. In particular, we encourage researchers with interest in either network biology or population genetics to apply.

For more information or for sending an application (which should include in case of the PostDoc position a CV, cover letter, expected availability date, a list of publications and contact details of 2 - 3 referees) please contact: martin.schaefer@ieo.it. The positions are available immediately but the starting date can be negotiated.

For more information click here


Posted on November 30, 2018

Two PhD positions - Genomics and transcriptomics of migratory behavior

The Max Planck Institute for Evolutionary Biology offers two PhD positions to investigating the molecular makeup and evolutionary/ecological genomics of migration in the European Robin (Erithacus rubecula). One position will be based at the Max Planck Insitute for Evolutionary Biology, Plön (MPRG Behavioural Genomics, Dr. M. Liedvogel), and one position will be based at the IBU, CvO University Oldenburg (Group of Prof. Dr. A. Nolte). Both PhD projects form the core of a newly established research project embedded within the SFB that aims to identify the genetic basis of traits that contribute to migratory behaviour in European robins. The PhD candidates and both PIs will collaborate and interact very closely. In a first step, the joint work will sequence, assemble and annotate a high quality reference genome for the European Robin that will serve as a backbone for both independent PhD projects.

One of the PhD projects will compare the genetic makeup of migratory versus resident populations of robins. The second PhD project will explore whether changes of gene expression in different tissue and/or during the course of the year reflect or predict migratory behaviour. Both PhD candidates will contribute to joint fieldwork with the goal to establish a well-characterised field population for in depth behavioural and genetic analyses in the wild.

Salary and conditions

The positions will be starting 1.1. 2019 for a duration of initially three years with a possibility for an extension to four years. Salary will be according to TVöD E13 (65%).  Both the The Max Planck Society and the University of Oldenburg are committed to also employing handicapped individuals and especially encourages them to apply. Both institutes seek to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply.

Application

Your application should include a letter of motivation, a detailed CV, a publication list, names and phone numbers of at least two personal references, university and high school certificates, and it must include a prioritized list of the positions you are interested in. Please send your application as a single pdf-file to Dr. Tina Schlüter, sfb1372@uol.de.

For detail click here


3-year PhD Studentship – Identifying metabolic biomarkers of skeletal muscle wasting in sarcopenia and cachexia

This project will be based in the University of Nottingham, School of Medicine (Derby campus)

Project details: When muscle is lost in ageing and disease, clinical outcomes are significantly impacted since loss of muscle mass impairs not only locomotory function but also whole-body metabolic health. As such there is a strong relationship between low muscle mass and increased disease risk and mortality outcomes in both healthy ageing and diseases associated with severe wasting. Early identification of those at risk of greatest musculoskeletal decline is important to ensure optimal interventional strategies can be implemented at an early stage to prevent and/or delay muscle wasting in these individuals, thereby maintaining musculoskeletal health for longer and preventing related disease risk.

This studentship is a 3-year funded studentship through the MRC-ARUK Centre for Musculoskeletal Ageing Research (CMAR). Students should have home or EU status: and have been 'ordinarily resident' in the UK for 3 years prior to the start of the studentship to be eligible for the full award (tuition fees, research support costs, and a tax-free stipend at the Research Council rate). Applicants who have been 'ordinarily resident' in another EU member state may be eligible for a fees only award. Please see RCUK terms and conditions for further information.

Applicants should have a strong background in physiology and metabolism, and ideally a background or knowledge of the application of mass spectrometry to understanding metabolism. They should have a commitment to research in ageing and musculoskeletal metabolism and hold or realistically expect to obtain at least an Upper Second Class Honours Degree in Biochemistry or Physiology or a relevant subject.

For detail click here


Posted on November 28, 2018

CRUK Cambridge Centre MRes + PhD in Cancer Biology

The CRUK Cambridge Centre is a dynamic collaboration of academic researchers, clinicians, and the pharmaceutical and biotech industries based in the Cambridge area. We combine world-class science and technology with excellent patient care to pioneer new ways to prevent, detect and treat cancer. By working together across different disciplines, we are breaking down the barriers between the laboratory and the clinic, enabling patients to benefit from the latest innovations in cancer science.

More than 600 laboratory researchers and physicians are united through a 12 programme structure that brings together investigators working on: Aerodigestive, Breast, Haematological, Brain, Ovarian, Paediatric, Pancreatic and Urological cancers. An additional four programmes focus on: ‘Cancer Imaging’ to promote our world-leading expertise in laboratory and clinical imaging research; ‘Cell and Molecular Biology’, to engage our colleagues working in all aspects of biology relevant to cancer; ‘Early Detection’ to support this special area of research emphasis in our CRUK Major Centre; and ‘Onco-Innovation’ to provide a collaboration point for our colleagues in the pharmaceutical industry (e.g. AstraZeneca, Medimmune) as well as members from University departments in the physical sciences.

Successful completion of the 1 year MRes course, including assessment of rotation project write-ups and defense of a PhD proposal, will lead directly on to a 3 year PhD, usually in one of the rotation project host laboratories.

For detail click here


PhD Student in Computational Biology, Bioinformatics, data science, or statistics

The research groups of Dr. Sascha Dietrich, Heidelberg University Hospital and EMBL-MMPU, and of Dr. Simon Anders, Center for Molecular Biology of the University of Heidelberg, are jointly seeking an outstanding PhD Student with expertise in computational biology, bioinformatics, data science, or statistics, for a project involving single-cell transcriptomics of patient-derived lymphoma samples.

We are an interdisciplinary team of physicians, wet-lab and dry-lab scientists. Our aim is to bring biology-based individualized treatment of lymphoma and leukemia into clinical practice. To achieve this ambitious aim, we establish a systems medicine program that integrates systematic functional assays, multi-omic profiling, bioinformatic analysis, mathematical modeling and setup towards a clinical exploitation.

We are looking for candidates who are able to think about data from a mathematical or computational perspective and to independently implement their ideas in code. Knowledge of biology is a plus, but a keen interest to learn is sufficient on that side.

For inquiries, please feel free to contact Dr Anders (s.anders@zmbh.uni-heidelberg.de) and/or Dr. Dietrich (sascha.dietrich@embl.de). For applications, use the same addresses. Please include some details on any previous programming projects (e.g., a web links to a GitHub repository, a project report, or some example code that you have written).

For detail click here


Posted on November 03, 2018

12 fully funded Ph.D. positions in Life sciences

The Cologne Graduate School of Ageing Research (CGA) in Germany is a joint venture of the University of Cologne Excellence Cluster on Stress Responses in Aging-Associated Diseases (CECAD), the University Hospital Cologne, the Max Planck Institute for Biology of Ageing and the Max Planck Institute for Metabolism Research. Cologne has emerged as a leading global research cluster with a stellar constellation of institutes and scientists dedicated to ageing research in Life Sciences. We offer up to 12 fully funded Ph.D. positions to highly motivated and talented students. The structured Ph.D. training programme within a cutting-edge research environment will start on an individual basis between July 1 and October 1, 2019. The initial contract is limited to three years. Payment is based on the German TV-L E13 scale, 65% if terms and conditions under collective bargaining law are fulfilled or on an equivalently remunerated Ph.D. support contract of the Max Planck Society.

Our offer

  • An outstanding international research environment at the most prestigious ageing research cluster in Europe
  • Excellent infrastructure for training and research by internationally recognized scientists in facilities with state-of-the-art technologies
  • Ph.D. projects that can be carried out in up to 56 participating research groups of the above mentioned institutes
  • An interdisciplinary and structured Ph.D. programme in the vibrant city of Cologne, Germany, completely conducted in English
  • An individual 3-year career mentoring programme, extensive methods courses and soft skill workshops
  • Intensive support and guidance for international students in all administrative matters

We are looking for

  • Highly qualified and motivated students holding a M.Sc. or equivalent degree in Cell/ Molecular Biology, Biochemistry, Genetics, Biophysics, Bioinformatics, Translational Medicine or a related field
  • A new generation of biomedical scientists who are eager to make fundamental scientific discoveries in the basic biology of ageing and may translate them into improvements in health and life for people as they grow older

For detail click here


PhD Student/ Early Stage Researcher Pharmacometrics

Bayer is a global enterprise with core competencies in the Life Science fields of health care and agriculture. Its products and services are designed to benefit people and improve their quality of life. At Bayer you have the opportunity to be part of a culture where we value the passion of our employees to innovate and give them the power to change.

Your Tasks and Educational Objectives

  • Develop computational models describing the dynamics of immune cells, especially T-cells, their interactions with tumour cells and the influence of pharmacotherapies targeting tumour-immune cell interactions
  • Take part in research visits and secondments to a wide range of network partners of the consortium
  • Attend network-wide training events including group meetings, seminars and workshops

Who you are

  • Master’s degree in pharmacy, natural sciences, medicine, mathematics or engineering
  • The researcher (m/f) must not have resided or carried out his/her main activity (work, studies, etc.) in Germany for more than twelve months in the three years immediately prior to the recruitment under the project and thus fulfills with the Marie-Curie fellowship mobility rule
  • In-depth knowledge in computational systems biology
  • Experience in immunology, PBPK and/or mathematical modelling is desirable
  • First experience with Matlab or R programming will be an advantage
  • Outstanding problem solving ability and willingness to undertake challenging scientific development
  • Business fluent in English, both written and spoken

For detail click here


Posted on October 31, 2018

Pre-doctoral Scholarship in Bioinformatics

Reference code: BEMRCS121819

Description: The UVic-UCC is a Young, highly dynamic university in central Catalonia which is particularly committed to high-quality teaching and innovative research. The Research Group in Bioinformatics and Medical Statistics (BEM), associated to the Systems Biology Department of the University of Vic, is a consolidated group recognized by the Catalan Government (Generalitat de Catalunya, ref. 2014SGR-596). It is an interdisciplinary group that includes life sciences, statistics and bioinformatics in a Systems Biology framework, with special emphasis on the study of the genetic basis of complex diseases.

The selected candidate will join the Research Group in Bioinformatics and Medical Statistics (BEM), with a Pre-doctoral scholarship for the development of novel computationals tools to understand drugs' adverse or side effect using network biology. The PhD will be co-supervised between Dr Fernandez from University of Vic and a industry partner: BioinfoGate SL in Barcelona. The candidate Will be also required to undertake limited teaching duties as part of the PhD traning.
Requirements
- Degree and Master degree in Biology, Biomedicine, Biochemistry, Biotechnology, Computer Science, Physics, Pharmacy
- Academic CV higher than 2.5 (out of 4)
- Advanced English (both wrltten and spoken).
- Abllity to report data, both orally and wrltten, collaborate in a multidisciplinary project involving researchers from a company partner
-Experience in Bioinformatics in general; basic skills in computing programming
The following will be considered advantages
- Interest in the development of computational tools with application on Biomedicine
- Experience or a clear interest in Bioinformatics as research field
- Experience in computer programming (any language)
For detail click here


PhD position in Machine Learning for Genomics

A PhD position is available in the Computational Biology group of the Technical University of Munich (Prof. Julien Gagneur) starting as soon as possible.
Your role
You will develop computational methods and models expanding Kipoi (http://kipoi.org), a collaborative initiative to define standards and to foster reuse of trained models in genomics . Kipoi builds on a 3-way collaboration with international partners (Stegle lab, EMBL Heidelberg, and Kundaje lab, Stanford). The Kipoi model repository at https://kipoi.org is increasingly used and extended by the research community.
Your research topics include: expressive and effective mathematical representations of RNA or protein encoded regulatory sequences, notably using deep learning approaches; development of integrative models of individual steps of gene expression (transcription, splicing, RNA degradation, translation and protein degradation); development of methodologies for interpretability of deep learning models, and for their application to the prediction of causal effects of genetic variants in rare or common diseases. We expect applications on large-scale public data as well as on unpublished datasets from experimental collaborators in biology or medicine.
You are
Applicants must hold a master in bioinformatics, or in physics, statistics, or applied mathematics with a genuine interest in applications to genomics. We expect know-how in machine learning or statistical modeling and demonstrated programming experience with R or python. (S)he should have excellent communications skills and be able to articulate clearly the scientific and technical needs, set clear goals and work within an interdisciplinary setting.
We are
The Gagneur lab is a lively, international, and interdisciplinary computational biology group with a research focus on the genetic basis of gene regulation and its implication in diseases. We are located in the informatics department of the Technical University of Munich, one of the top ranked European universities. Our lab has strong links to other local scientists and institutions in biology and medicine. Munich offers an outstanding, dynamic, interactive and internationally oriented research environment. Munich, the 2018 “most livable city in the world” according to the urban magazine Monocle, and the proximity of the Alps provide an excellent quality of life.

For detail click here


Posted on October 29, 2018

PhD position in Computational Biology

Oncinfo is a research lab at the University of Texas Health Science Center at San Antonio . The focus of our projects is on bioinformatics and computational biology. We develop and apply sophisticated machine learning algorithms to analyze large biological, or clinical, data sets. From these complex data, our goal is to infer useful information which provides insight into biology, or leads to clinical applications.

Dr. Habil Zare is the PI of the Oncinfo Lab (see http://oncinfo.org/ for more details). He has joint appointments at: 1) The Department of Cell Systems and Anatomy, consistently ranks high for NIH funding, and 2) The Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases. The UT Health San Antonio is a Tier One research institution, and has ranked 1st in NIH funding for studies in aging, which provides a good foundation for research in neuroscience and cancer.

Qualifications
Required: Applicants should have a strong background in molecular biology and computer programming. However, exceptionally strong candidates with either background who are highly motivated for learning new concepts in biology and improving their programming skills will be considered. Ability for critical thinking and independent learning, and excellent written and oral communication skills are essential.
Preferred: Above average knowledge in machine learning, mathematics, computational biology, bioinformatics, statistics, R, prior experience in a related field, or experience in multidisciplinary research that has led to high–impact publications can increase chance for acceptance.

For detail click here


PhD Studentship in Biological Science

The University of Southampton and Biological Sciences both hold an Athena Swan Silver & Bronze Award, respectively, demonstrating their commitment to provide equal opportunities and to advance the representation of women in STEM/M subjects: science, technology, engineering, mathematics and medicine. Due consideration will be given to applicants who have taken a career break.

Global climate change is predicted to result in species shifting their ranges up latitudinal and altitudinal gradients to track suitable climatic conditions. However, although the temperature may become suitable, high altitude hypoxia (oxygen deficiency) may limit the ability of lowland species to survive at higher altitudes. Physiological and genetic adaptations to high altitude environments have been identified in humans and other vertebrates. Yet little is known about adaptive mechanisms for hypoxia tolerance and their drivers.

This PhD studentship will combine genomic, ecological and modelling approaches to identify adaptations to high altitude in Canary Island bats and extrapolate the effect of these adaptations on species distributions, population structure and movement processes.

Reference: 1071618BJ

Closing Date: Friday 04 January 2019

For detail click here


Posted on October 26, 2018

PhD research fellowship in Computational Biology and Systems Medicine

The Computational Biology and Systems Medicine group (Kuijjer group) at the Centre for Molecular Medicine Norway (NCMM), a Nordic EMBL partner, and the University of Oslo is looking for a PhD candidate. The position is available immediately. The appointment will be for three years. The Computational Biology and Systems Medicine group investigates how gene regulatory networks are disrupted in cancer. We do this by building computational tools that model networks of gene regulation, which represent for example how transcription factors or microRNAs regulate genome-wide gene expression. Using high-performance computing, we can model these networks for each individual sample in large-scale cancer `omics datasets.

Qualification requirements

  • Master’s degree or equivalent in computational biology, bioinformatics, cancer genomics, (bio)physics, computer science, statistics, or a related field. We are an interdisciplinary team and welcome students who want to expand their knowledge in either biology or computation.
  • Proficient in programming and/or scripting languages, such as R, Python, Matlab.
  • Good analytical skills.
  • Knowledge of statistics.
  • Documented ability to write scientific manuscripts.
  • Fluent oral and written communication skills in English.
  • Excellent communication skills.
  • Ability to work in a team environment.

Desirable skills:

  • Previous experience with genomic data analysis
  • Experience with high-performance computing

For questions relating to the administrative aspects of the application, please contact Ragni Indahl ragni.indahl@ncmm.uio.no

Deadline 11.11.2018

For details click here


PhD position in computational biology, bioinformatics, data science, or statistics

The research groups of Dr. Sascha Dietrich, Heidelberg University Hospital and EMBL-MMPU, and of Dr. Simon Anders, Center for Molecular Biology of the University of Heidelberg, are jointly seeking an outstanding PhD Student with expertise in computational biology, bioinformatics, data science, or statistics, for a project involving single-cell transcriptomics of patient-derived lymphoma samples.

We are an interdisciplinary team of physicians, wet-lab and dry-lab scientists. Our aim is to bring biology-based individualized treatment of lymphoma and leukemia into clinical practice. To achieve this ambitious aim, we establish a systems medicine program that integrates systematic functional assays, multi-omic profiling, bioinformatic analysis, mathematical modeling and setup towards a clinical exploitation.

We are looking for candidates who are able to think about data from a mathematical or computational perspective and to independently implement their ideas in code. Knowledge of biology is a plus, but a keen interest to learn is sufficient on that side.

For inquiries, please feel free to contact Dr Anders (s.anders@zmbh.uni-heidelberg.de) and/or Dr. Dietrich (sascha.dietrich@embl.de). For applications, use the same addresses. Please include some details on any previous programming projects (e.g., a web links to a GitHub repository, a project report, or some example code that you have written).

For detail click here


Posted on October 24, 2018

Doctoral student in epidemiology

The Institute of Environmental Medicine (IMM) is a department at Karolinska Institutet and an interdisciplinary research institution within the broad field of environmental medicine. IMM conducts cutting edge research within the areas of environmental and occupational medicine, toxicology, physiology, epidemiology, and biostatistics with the aim to clarify how environmental and lifestyle factors affect our health and which role genes have. IMM also serves as a scientific advisor to public authorities within the area of environmental medicine and IMM scientists participate in national and international expert groups.

The Institute of Environmental Medicine (IMM) is a department at Karolinska Institutet with an excellent record of cutting-edge research in the disciplines of epidemiology and biostatistics, environmental medicine, occupational medicine, toxicology and physiology. IMM plays a central role in the education of epidemiologists and toxicologists at Karolinska Institutet and serves as a scientific advisor to national agencies within the field of environmental medicine.

We are looking for a highly motivated PhD-candidate with a solid background within the field of biomedical sciences and with understanding of molecular biology. Excellent writing and communication skills and an ability to interact scientifically with researchers from different disciplines are essential. Experiences of metabolomics, applied statistical methods using R or Stata and of perfluorinated compounds are meritorious. Good knowledge or strong proven interest in epidemiology is also an asset. As this project is an interdisciplinary research project it is recommended that the candidate has insights in different fields ranging from molecular biology to epidemiology.

Last application date 12.Nov.2018 11:59 PM CET

For detail click here


PhD position in zebrafish lymphatic development

Uppsala University is a comprehensive research-intensive university with a strong international standing. Our mission is to pursue top-quality research and education and to interact constructively with society. Our most important assets are all the individuals whose curiosity and dedication make Uppsala University one of Sweden’s most exciting workplaces. Uppsala University has 42,000 students, 7,000 employees and a turnover of SEK 6.7 billion.

Applications are accepted from highly motivated candidates with a master degree in Biomedicine, (Molecular) Medicine, Molecular (Cell) Biology or similar. Written and oral proficiency in English is a prerequisite, as is basic knowledge of, and skills in molecular biology. A successful candidate should be a highly motivated, organized, reliable team player that can also work independently. Prior experience in fluorescence microscopy and zebrafish husbandry is essential. Knowledge of bioinformatics, programming and image-based analyses are a bonus.

Number of reference: UFV-PA 2018/3709

Last application date: 2018-11-06

For detail click here


Posted on October 22, 2018

15 PhD/Early Stage Researcher (ESR) positions (Molecular Biology, Artificial Intelligence, Medical Biology)

The PERICO research programme aims to uncover how a central metabolic organelle, the peroxisome, participates in controlling cellular metabolism. Metabolism and metabolic control are emerging as important frontiers in physiology. This is because, in our rapidly changing world, we face the effects of both metabolic extremes – from obesity on the one hand to malnutrition on the other. Learning how to control energy metabolism is therefore one of the most pressing challenges of the 21st century.

Candidates must not have resided or carried out their main activity (work, studies, etc) in the country of their host organisation for more than 12 months in the 3 years immediately prior to recruitment (short stays, such as holidays, are not taken into account).

Requirements

Candidates should have: exceptional academic performance, including qualifications, prizes subject specific skills and expertise (see project descriptions) communication, presentation skills and team working abilities competence in written and spoken English.

Application deadline: 28/10/2018

For details click here


PhD position in Bioinformatics

The Computational Systems Biology group led by prof. Vera van Noort is interested in understanding biological systems as a whole. We try to achieve this through computational analysis of large-scale data generated by the ever growing number of new technologies that can systematically measure the behavior of multiple cellular components, such as biochemical activities, biophysical properties, subcellular localization and interaction. We use and develop new methods to integrate, visualize and query the large amounts of information available and in such a way come to new biological discoveries.

Role of the PhD student

Theconservation of molecular pathways of several test species has been mappedagainst humans as reference, using automatically derived orthologousrelationships stored in the ENSEMBL comparative genomics database. We foundthat orthology prediction suffers from many shortcomings, especially forevolutionary more distant species such as D.rerio (zebrafish), C. elegans andD. discoideum that provideinteresting alternative test species. We have shown that to obtain realisticorthology relationships additional genomes should be included and high qualityphylogenetic reconstructions are necessary.

You can apply for this job no later than January 01, 2019

For detail click here


Posted on October 19, 2018

PhD candidate position in Data Science/ Bioinformatics

A PhD candidate position is available at the Transfaculty Research Platform Molecular and Cognitive Neuroscience (MCN, www.mcn.unibas.ch/) of the University of Basel. MCN focuses on the neurobiological underpinnings of human behaviour and on the development of novel treatment options for neuropsychiatric disorders. Our research is enabled by our in-house computational platform which provides access to multi-omic data sets from preclinical data, clinical trials as well as in-house and public genomics and brain imaging data.

Your position
The research project will focus on extending and utilizing our existing computational analytics platform for reproducible research. The successful candidate will collaborate with bioinformaticians, statisticians, psychologists, and biologists to identify critical research questions and address them via computational approaches.‬ ‬‬‬‬‬‬‬‬‬
Your profile
The successful candidate will have a Master's degree (or comparable) and a strong background in Data Sciences, Bioinformatics, Computer Science, Statistical Genetics, Neuroscience or related disciplines. The ideal candidate will have demonstrated hands-on experience of programming in R and SQL, experience in using git and Linux as well as affinity to statistical (genetics) methods.

Doctoral student in Biology

Örebro University is currently offering research study opportunities on the doctoral programme in Biology. For the successful candidate, the programme will conclude with the award of the Degree of Doctor Philosophy in Biology. The start date of the programme is January 2019.

The student will be part of the Molecular Biology group, which is actively working in collaboration with scientists in biology, chemistry, medicine and industry. The group has strong international collaborations thus providing unique opportunities in research and networking. The research environment uses progressive techniques and has state-of-the-art equipment to conduct competitive research. The current project is financed by the Knowledge foundation in collaboration with industrial partners to develop refined methodology for improved and realistic risk assessment.

The candidate should be creative with strong theoretical knowledge and active interest in the project. Proficiency in written and spoken English is a requirement. The daily working language is English. Other assessment criteria include good interpersonal skills and an ability to cooperate as well as the ability to perform duties independently.

Ref no: ORU 2.2.1-05508/2018

For detail click here


Posted on October 17, 2018

Funded PhD Student Positions at Helmholtz International Epigenetics Research School

The Helmholtz Zentrum München in Munich, Germany, is member of one of the leading research associations in Europe – the Helmholtz Association of German Research Centers. The aim of our research is to proactively detect health risks involving humans and the environment, decoding the mechanisms of pathogenesis and developing concepts for prevention and therapy.

The Helmholtz International Epigenetics Research School currently has an open call for fully funded PhD student positions. Through this interdisciplinary program we will provide students with an inspiring research and training environment to conduct their PhD research in the field of epigenetics.

Research areas are:

  • Epigenetic inheritance
  • Chromatin dynamics
  • Molecular engineering
  • Cellular plasticity
  • Epigenetics reprogramming
  • Translational research
  • Computational biology

We are looking for outstanding and highly talented students from all over the world to join us to shape the future of epigenetics.

Applications should be submitted until 20th of November, 2018.

For more information click  here


Position: Doctoral Student- Molecular and Cellular Oncology

The German Cancer Research Center is the largest biomedical research institution in Germany. With approximately 3,000 employees, we operate an extensive scientific program in the field of cancer Research.

We are interested in discovering and characterizing specific vulnerabilities in cancer cells that can be exploited for the development of targeted therapies. To achieve this goal, we use a broad spectrum of molecular and cell biological technologies, such as RNA interference or CRISPR/Cas9-mediated genome editing on small and large scale in combination with the analysis of diverse in vitro and in vivo phenotypic readouts. Examples include RNAi screening in leukemia and solid cancers (e.g. Cell. 2009 May 29;137(5):821-34; Blood. 2014 Jul 3;124(1):13-23; Leukemia. 2018 Mar 22 [Epub ahead of print]), and cancer genome sequencing combined with functional testing (e.g. Cancer Discov. 2018 Sep;8(9):1087-1095).

We are an international, friendly and enthusiastic team that offers intensive support and mentoring. Technologies in our laboratory include functional genomics, structural genomics (including whole-exome/genome, RNA and single-cell RNA sequencing), bioinformatics and diverse molecular/cell biological and biochemical approaches.

Requirements:

  • We are looking for a brilliant early-career scientist who is highly motivated, ambitious and hard-working.
  • Applicants should hold a Diploma/Master’s degree in biology, biochemistry, genetics or a related field.
  • Expertise in molecular and cellular biology, with specific focus on genome engineering techniques is advantageous.
  • Profound knowledge of cancer biology, excellent communication skills and proficiency in English are mandatory.

Application Deadline: 06.11.2018

For detail click here


Posted on October 15, 2018

PhD Position in Bioinformatic Analysis of Ageing

The Max Planck Institute for Biology of Ageing was founded in 2008 for the purpose of understanding fundamental mechanisms of healthy ageing. It is part of a broad network of research institutions in the Cologne-Bonn area dedicated to research on ageing and age-related disease, including the CECAD, constituting a vibrant and collaborative environment for research. Equipped with state-of-the-art technology and excellent core facilities, to which the successful candidate would have access, the institute provides outstanding research opportunities for its scientists. At the moment, we host employees from 34 different nations.

The successful candidate will join an enthusiastic and collaborative team in an excellent scientific environment. The department investigates mechanisms of ageing and ageing-associated diseases, using the fruit fly Drosophila and the mouse as experimental model organisms. Our work combines in vivo phenotyping with high-throughput techniques (proteomics, metabolomics, RNA-Seq, Bisulfite-Seq, ChIP-Seq, ATAC-Seq), molecular biology, biochemistry and high-resolution imaging to study how pharmacological, dietary and genetic interventions extend health and lifespan in mice.

The successful candidate will hold a master’s degree in bioinformatics, computational biology or a related field. The applicant should have strong written and oral communication skills. The working language is English; knowledge of the German language is not required. Experience in one of the following methodologies: epigenetics, transcriptomics, high-throughput data analysis, mathematical modelling and network generation is an advantage; basic or advanced programming skills are required.

Then please send your complete application documents in electronic form as PDF documents until 8th November 2018 .

For details click here


PhD position in Bioinformatics: Developmental And Reproductive Toxicity pathway

The Computational Systems Biology group led by prof. Vera van Noort is interested in understanding biological systems as a whole. We try to achieve this through computational analysis of large-scale data generated by the ever growing number of new technologies that can systematically measure the behavior of multiple cellular components, such as biochemical activities, biophysical properties, subcellular localization and interaction. We use and develop new methods to integrate, visualize and query the large amounts of information available and in such a way come to new biological discoveries.

Theconservation of molecular pathways of several test species has been mappedagainst humans as reference, using automatically derived orthologousrelationships stored in the ENSEMBL comparative genomics database. We foundthat orthology prediction suffers from many shortcomings, especially forevolutionary more distant species such as D.rerio (zebrafish), C. elegans andD. discoideum that provideinteresting alternative test species. We have shown that to obtain realisticorthology relationships additional genomes should be included and high qualityphylogenetic reconstructions are necessary.

Profile
MSc in Bioinformatics/Computational biology with experience in phylogenetic reconstruction, python programming, high-performance computing and omics data visualization.

If you are a bioinformatician with an interest in applying your knowledge of phylogenetics, omics data integration and data visualization to a societally relevant problem, please send your cv and at least two reference letters to vera.vannoort@kuleuven.be

You can apply for this job no later than January 01, 2019

For detail click here


Posted on October 12, 2018

PhD Studentship: Bioinformatics

The Institute of Cancer Research, London, is one of the world’s most influential cancer research institutes, with an outstanding record of achievement dating back more than 100 years. We provided the first convincing evidence that DNA damage is the basic cause of cancer, laying the foundation for the now universally accepted idea that cancer is a genetic disease. Today, The Institute of Cancer Research (ICR) leads the world at isolating cancer-related genes and discovering new targeted drugs for personalised cancer treatment.

Under the leadership of our Chief Executive, Professor Paul Workman FRS, the ICR is ranked as the UK’s leading academic research centre. Together with our partner The Royal Marsden, we are rated in the top four cancer centres globally.

Applications are invited from talented graduates or final year undergraduates who hold or expect to gain a first or upper second class honours degree or equivalent, or a Masters degree, in Biology, Biochemistry, Bioengineering, Chemistry or Physics. This studentship will be suitable for a student with a background in statistics, programming or bioinformatics The successful candidate will undertake a four-year research training programme under the guidance of a supervisory team of our world-class researchers. Students receive an annual stipend, currently £21,000 per annum, as well as having fees and project costs paid for the four-year duration. The ICR is a college of the University of London and awards degrees of the University.

Closing Date 08/11/2018, 23:55

For detail click here


PhD position in Computational Biology (computational approaches for food security)

Most plants have undergone whole genome duplications and many crops are polyploids. What is the advantage of such genome doubling? Studying the important trait of flowering time, this project offers the exciting opportunity to unravel key biological questions in the strategically important area of food security.

As part of a large consortium aiming to understand trade-offs between traits in Brassica crops, this project will employ bioinformatics and mathematical modelling approaches to infer the ‘circuit boards’ of development and to simulate their dynamic behaviour. The results of this study will allow us to gain new insights into the information processing capabilities of plants and the impact of regulatory divergence and polyploidisation.

This project would be suited for a biologist with programming skills (or wishing to learn them) or a computer scientist keen to develop skills in the upcoming area of computational biology. Training will be provided in all relevant areas.

Application Deadline 26/11/2018

For detail click here


Posted on October 10, 2018

PhD scholarship in Metabolic Engineering

Applications are invited for a 3-year PhD fellowship on metabolic engineering of yeast cell factories. The start date is the 1st of January 2019. The project will be carried out at the Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark (DTU) in Yeast Metabolic Engineering Group under supervision of Dr. Borodina.

Responsibilities and tasks
The candidate will develop novel yeast cell factories for production of high-value chemicals from renewable feedstocks. The candidate will employ advanced synthetic biology tools and systems-level metabolic engineering, tapping into the latest -omic technologies, including DNAreseq, RNAseq, protein, flux as well as metabolite profiling.

Qualifications
Candidates should have a master's degree in engineering or a similar degree with an academic level equivalent to the master's degree in engineering. The candidate shall have a Master's degree in Biotechnology, Biochemical Engineering, Microbiology or a similar degree with an academic level equivalent to the Master's degree. Solid knowledge of molecular biology techniques, genetics, bioinformatics and biochemistry is required.

Please submit your online application no later than the 16 November 2018 (local time).

For details click here


PhD Reseach Fellowship in Genetics of Autoimmunity Research

A three-year full time PhD Research Fellowship is available in the Group Genetics of Autoimmunity, the Department of Medical Genetics, Institute of Clinical Medicine, The Faculty of Medicine, University of Oslo (UiO). The position is funded by the Research Council of Norway.

The objective of the project is to reveal the regulatory role of autoimmune risk variants in human thymic antigen presenting cells by cellular, transcriptomic and epigenetic characterization of existing cell populations in the human thymus. Next, the correlations between risk alleles and expression profiles, alternative splicing and the binding of key transcription factors will be explored employing a variety of advanced wet-lab techniques including conventional and single-cell RNA-sequencing and ChIP-seq, as well as biostatistics and bioinformatics analyses.

Qualification requirements

The purpose of the fellowship is research training leading to the successful completion of a PhD degree. The fellow must fulfill the requirements of and take part in the PhD program at the Faculty of Medicine at the University of Oslo and is expected to complete the degree within the set fellowship period.

The ideal candidate:

  • Holds a Master degree in molecular biology, biochemistry or related fields.
  • Experience and practical skills in molecular biology methods like qPCR, working with RNA, Western blotting and sequencing are required.
  • Knowledge and experience in cell culture work and flow cytometry is an advantage.
  • Skills in bioinformatics and biostatistics analyses using R will be an asset.
  • The candidate must be fluent in English.
  • Knowledge in immunology and autoimmunity will be an asset.

Deadline 11.11.2018

Jobbnorge ID 158594

For details click here


 

Posted on October 08, 2018

PhD Scholarship in Bioinformatics and Cancer Precision Medicine

DTU Bioinformatics has its main research and teaching activities in bio-medical and bio-technological informatics, metagenomics, epidemiology, integrative systems biology and machine learning. The research at DTU Bioinformatics is focused on bioinformatics and computational analyses of large amounts of data generated within biological, biomedical and biotechnological and life sciences area. We strive to gain new knowledge and drive innovation in human, animal, plant and food science and collaborate with all relevant industries.

Responsibilities and tasks
The PhD student will primarily be working on

  • Handling and analysis of mass cytometry data '
  • Handling and analysis of genomics data
  • Handling and analysis of RNA-Seq data
  • Prediction of HLA binders from somatic variants
  • Integrated analyses of all of the above, including clinical data

Qualifications
Candidates should have a master's degree in engineering or a similar degree with an academic level equivalent to the master's degree in engineering. A specialization within bioinformatics is required. Furthermore, extensive experience handling and analysing mass cytometry (CyTOF) data is required. Deep understanding of immunology and oncology in general is highly desirable. Experience with breast cancer is a plus. A good understanding of machine learning algorithms is desirable.

Please submit your online application no later than 18 October 2018.

For details click here


PhD Studentship: Understanding Prostate Cancer Prognosis and Disease Progression

This project is one of a number that are in competition for funding from the ‘GW4 BioMed MRC Doctoral Training Partnership’ which is offering up to 18 studentships for entry in September/October 2019. In the UK, there are more than 46,000 new diagnoses of prostate cancer each year and it causes around 11,300 deaths annually. Whilst new therapies continue to improve clinical care, there is now great emphasis being placed on the role of lifestyle in predicting and modifying disease outcomes. Strong evidence has emerged showing that regular exercise improves quality of life, reduces fatigue and reduces incontinence in men with prostate cancer.

This PhD will provide training at 4 levels of scientific investigation: (i) analysis of disease processes at the molecular level, such as using targeted proteomics of inflammatory variables implicated in tumour growth and metastasis (Bath); (ii) phenotypic and functional analysis of anti-cancer immunity at the cellular level (Bath); (iii) evaluation of physical activity and exercise interventions at a broader clinical level, such as clinical outcomes in patients with prostate cancer (Bristol); and (iv) bioinformatic analyses of interplay between immune parameters and metabolomics, proteomics, epigenetics and clinical data (Bristol).

Studentships cover Home tuition fees, Training Support Fee and stipend (£14,777 p/a, 2018/9 rate) and are open to UK/EU applicants who have been resident in the UK since September 2016.

For details click here


Posted on October 05, 2018

PhD Studentship: Biological Science (Proteomics)

Allergies to small organic chemicals are a public health concern and can manifest themselves in a variety of clinical outcomes. For example, allergic contact dermatitis (ACD) is a T-cell mediated, delayed hypersensitivity that typically results in skin symptoms, which can be severe but not life-threatening. By contrast, chemical respiratory and drug allergies can be IgE-mediated and potentially fatal. What drives the subsequent divergent immunological outcomes i.e. the differences in the main effector responses associated with skin and respiratory sensitisation is unknown.

In collaboration with Unilever PLC, this research project capitalises on novel proteomic techniques recently developed at the UoS to characterise both the proteins modified and the MHC peptide antigens presented after sensitiser exposure. This programme of research presents an exciting opportunity to investigate and elucidate the differences in effector responses between skin and respiratory sensitisation at the molecular level. Working within a research team based within the Centre for Proteomic Research, the successful student will develop expertise in using the latest techniques in proteomics, immunopeptidome analysis and bioinformatics.

The project is funded for 3 years and welcomes applicants from the UK and EU who have or expect to obtain at least an upper second class degree or students recently completing a Master’s degree in Biological Sciences or allied subjects. Funding will cover fees and an enhanced annual stipend.

Application Deadline: 25th October 2018

For details click here


Ph.D. position in Biomedical Engineering (Raman spectroscopy)

The Institute of Biological and Medical Imaging (IBMI) at the Helmholtz Zentrum München (HMGU) in Munich, Germany, and the Chair of Biological Imaging (CBI) at the Technical University of Munich (TUM) are an integrated, multi-disciplinary research structure and form the cornerstone of a rapidly expanding bioengineering ecosystem in Munich; including the Helmholtz Pioneer Campus and the Research Center TranslaTUM, which integrate bioengineering with metabolic disorders and oncology, respectively. IBMI scientists develop next-generation imaging and sensing methods to measure previously inaccessible properties of living systems, hence, catalyzing breakthroughs in biology and medicine. Comprising 11 inter-disciplinary laboratories and scientists from more than 25 countries, IBMI offers state-of-the-art infrastructure for innovative research and a perfect environment to accelerate your career.

The successful candidate will lead advances within an innovative research program that develops a novel endoscope combining stimulated Raman spectroscopy and scattering. The goal is to shift the paradigm in cancer early diagnosis. The project is geared toward methods development to analyze the acquired multimodal data and to provide fast and accurate label-free in vivo biopsy. We expect this project to result in a substantial technology leap in cancer early detection, enabling rapid translation into clinical diagnostics and personalized surveillance intervals.

Your profile

The successful applicant must have the following:

  • An M.Sc. in Physics, Electrical Engineering, Computer Engineering, Biomedical Engineering or related discipline.
  • Excellent academic records.
  • Strong motivation, scientific curiosity and commitment to scientific excellence.
  • High knowledge of Raman data processing, analysis, and classification.
  • Knowledge of machine learning techniques and statistics is highly appreciated.
  • In-depth programming skills in MATLAB for data analysis.

For details click here


Posted on October 03, 2018

Doctoral Candidate (PhD student) in Disease Modelling, Metabolomics, and Chemical Biology

The University of Luxembourg is a multilingual, international research University. Luxembourg is a dynamic, multicultural country in the heart of Europe with a strong research and development base supported by important organisational resources. The Luxembourg Centre for Systems Biomedicine (LCSB) at the University of Luxembourg, offers state-of-the-art facilities and an excellent training environment for early-stage researchers, in particular in the biomedical sciences.

The Enzymology & Metabolism Research Group at the LCSB is looking to hire a PhD student as part of the PARK-QC DTU, an interdisciplinary doctoral training unit focusing on ‘Molecular, Organellar and Cellular Quality Control in Parkinson's disease and Other Neurodegenerative Diseases’ and involving several Luxembourgish biomedical research units. Within the EM group, the project entitled ‘The Role of Metabolite Repair, a New Type of Molecular Quality Control, in the Protection Against Neurodegeneration’ will investigate the mechanism through which mutations in two metabolite repair genes cause severe neurological impairments in children and explore therapeutic strategies.

Your Profile

  • Master degree in Biochemistry, Biology, Molecular Biology, Biotechnology, Genetics or a related discipline.
  • Strong background in metabolic biochemistry and molecular/cellular biology, as well as good notions in bioinformatics.
  • Previous experience with handling model organisms, mammalian cell culture, and/or mass spectrometry techniques will be considered as important asset(s).
  • Excellent English writing and speaking skills are essential.

Please apply ONLINE until November 1st, 2018 (or until filled).

For details click here


PhD student position in Systems Biology

Jens Nielsen lab is searching for a PhD student to work in translational medicine projects resulting from research in the systems biology of cancer metabolism. The number of people diagnosed with cancer is increasing steadily. At the same time, patients live longer with the disease thanks to continuous advancements in treatments’ efficacy. These two factors are contributing to a shift from cancer as an acute condition to a chronic condition. At this pace, on one hand the need for convenient diagnostics to monitor longer and longer follow-ups will become severely urgent.

Major responsibilities
The candidate will be responsible to investigate, support, explore, and publish the above-mentioned studies as well as eventual follow-up or exploratory studies. The role will consist of these duties:

• Gather and process the data from the trials;
• Liaise with the clinical collaborators;
• Analyse the data in the context of the endpoints of each trial;
• Explore the data to discover novel associations between the measured biomarkers and cancer;
• Draft or support the drafting of the manuscripts;
• Publish and disseminate the manuscripts.

Qualifications
You should have a M.Sc. degree in Biotechnology / Bioinformatics / Computational Biology. Preferred experience includes R (preferred) or Python based biological data analysis (omics and networks), a research background in systems biology and in metabolism, as well as proven ability in the design and analysis of experiments. Leadership positions as well as teaching or other educational activities are highly valued. Fluency in English in speaking and writing is a key requirement.

Application deadline: 31 October 2018

For details click here


Posted on October 01, 2018

Doctoral Candidate (PhD student) Position in Computational Metabolomics and Cheminformatics

The University of Luxembourg is a multilingual, international research University. Luxembourg is a dynamic, multicultural country in the heart of Europe with a strong research and development base supported by important organisational resources. The Luxembourg Centre for Systems Biomedicine (LCSB) at the University of Luxembourg, offers state-of-the-art facilities and an excellent training environment for early-stage researchers, in particular in the biomedical sciences.

The Environmental Cheminformatics Group at LCSB, in conjunction with Friedrich-Schiller University of Jena (FSU Jena) are looking to hire a PhD Candidate as part of a recent ATTRACT Fellowship granted by the Luxembourg National Research Fund (FNR). The topic, “Cheminformatics Approaches to Identify Unknowns in Mixtures and Simple Biological Systems” involves the development of cheminformatics approaches to identify unknowns with high resolution mass spectrometry and the candidate will work closely on data generated by a second PhD candidate in the project.

Your Profile

We seek a highly motivated student with the following profile:

  • Master’s degree (MSc or equivalent) in bioinformatics, cheminformatics, chemistry, biotechnology, environmental sciences, mathematics or related fields
  • Passionate about chemistry, the environment and Open Science initiatives
  • Cheminformatics or programming knowledge, or willingness to develop these skills
  • Willingness to work closely with a second PhD candidate, in a larger team, with project members and other LCSB colleagues as well as become active in online open science communities
  • Hands-on experience in R, Java and/or the Chemistry Development Kit (CDK) will be advantageous
  • Experience with non-target high resolution mass spectrometry data will likewise be advantageous
  • Fluency in English is essential, skills in German and/or French will be advantageous

We offer

  • (36 months studies programme, as per university standards) with project funding available for up to 48 months
  • Competitive remuneration, contract subject to public national security system benefits
  • A dynamic, exciting and equal opportunity international research environment

Applications should quote Ref: 50012374

Please apply ONLINE until November 30th, 2018 (or until filled)

For details click here


PhD Candidate: Molecular or Cellular biology, Biomedical sciences

At Radboud University, we do research and teach programmes covering the full width of the academic spectrum. We do this on a green, modern campus with state-of-the-art facilities. The atmosphere on campus is open and personal, which stimulates colleagues to share their knowledge beyond the boundaries of their own discipline. It encourages all to look further, to see more.

Responsibilities
With two-year survival rates of less than 50%, therapy improvements are urgently needed for acute leukaemia. Mutations in transcription factors and DNA and histone modifiers are prominent in this disease. Understanding the pathogenic effects of the mutations and the deregulated biological pathways will provide in new targets for precision medicine. In this PhD project, we will extend our studies on how the mutations affect chromatin biology and transcription to deregulate cell behaviour. State-of-the-art models (leukaemia-specific induced pluripotent stem cells), techniques (CRISPR gene editing, ATAC-, ChIP-, RNA-seq and label-free quantitative mass spec) and novel bioinformatic approaches will be used to gain a better insight into leukaemia pathogenesis and identify new therapeutic targets for this deadly disease.

What we expect from you

  • Master’s degree in molecular or cellular biology, biomedical sciences, molecular life sciences or a related field;
  • experience in one or more of the following areas: molecular biology and cell biology techniques, generation and analysis of next-generation sequencing data, single-cell approaches, mammalian genomics and gene regulation;
  • experience in computational analysis is preferred;
  • excellent communication skills in written and spoken English;
  • strong analytical skills, a problem-solving and result-oriented attitude. The ability to come up with new proposals/approaches to study chromatin biology

For details click here


Posted on September 28, 2018

NIHR GOSH BRC PhD Studentship - Genetics & Genomic Medicine

A 3-year PhD Studentship funded by the National Institute for Health Research Great Ormond Street Hospital Biomedical Research Centre (NIHR GOSH BRC) is available within the Genetics and Genomic Medicine Programme, UCL GOS Institute of Child Health.

We are seeking a PhD student to work in a genomic medicine project in Dr. Castellano’s group using population approaches. The aim of the project is to understand the genetic architecture of micronutrient deficiencies. That is, to characterize the number, age and type of genetic variants, their population frequencies and the magnitude of their contribution to the risk of micronutrient deficiency or toxicity in humans today. Such deficiencies have been pervasive in human history and may have resulted in old and common genetic variants contributing to disease risk today.

We are seeking a creative and highly motivated individual with prime interest in genomics. Candidates should have studies in bioinformatics, computational or evolutionary biology, statistics or related genomic disciplines. The ideal candidate will have experience in at least one of the areas above, and a strong interest in the others. Previous work in translational bioinformatics (theoretical or analytical) is a plus. The student will use large-scale genomic datasets and databases, next-generation sequencing data. Programming and quantitative skills will be developed.

Ref:1756560

Closing Date 28 Nov 2018

For details click here


PhD Studentship in Transcriptional Control of Metastatic Cancer Progression

The Medical Research Council Cancer Unit at the University of Cambridge is a leading centre for cancer research in the UK. Our aim is to undertake research that advances our understanding of the earliest steps in the emergence of cancer, and to use this knowledge for early diagnosis, risk stratification and clinical intervention, through the development of innovative enabling technologies. The Unit is based within the Hutchison/MRC Research Centre on the Cambridge Biomedical Campus, and possesses excellent research facilities, strong collaborations with clinicians and colleagues in other disciplines, and a vibrant and supportive working environment. We have a number of PhD projects on offer for entry in October 2019, with funding available through studentships from the Medical Research Council. Eligibility and Funding criteria apply and are stated below.

We welcome applications from those holding or expecting to obtain at least an upper second-class degree (or equivalent) in a relevant scientific subject. These studentships are funded by the Medical Research Council and are open to UK and EU applicants only. Other international students are not eligible to apply. UK applicants will be eligible to receive full funding of University and College fees and a stipend of £18,000 p.a. EU applicants will be funded on a fees-only basis, unless they meet the MRC's eligibility criteria (visit the MRC website for further details: www.mrc.ac.uk/skills-careers/studentships/studentship-guidance/student-eligibility-requirements/). Successful applicants will be registered with the University of Cambridge.

The closing date for applications is 30th November 2018, with interviews expected to take place in December.

For details click here


Posted on September 26, 2018

PhD position in Computational Biology

We have PhD positions open (Saez Group , Institute for Computational Biomedicine , Heidelberg). Candidates interested in using computational tools to analyze large biomedical data sets to understand and target human disease are encouraged to apply. You are expected to hold a degree in statistics, mathematics, physics, engineering or computer science, or a degree in biological science with substantial experience in computational and statistical work. We are particularly looking for a candidate with expertise in the analysis of transcriptomics data and functional genomics, although other profiles will also be considered.

Candidates should email their CV (including names of references) and a letter of interest to Julio including “Saez Group Opening” in the email subject. The letter of interest has to be tailored to our group and explain how you would fit there. There is no strict deadline, but priority will be given to applications by October 15th. Starting date is also flexible.

We also have opportunities for student assistants (HiWi), master thesis, and internships, for a period of typically at least six months. We have often funding available for these positions. If you are interested, please contact Julio via Email. Please include your CV, academic transcripts and the names of several references. In your e-mail please explain in which specific project, or recent publication you are interested and why. Please also explain how you think you could fit in our group. Include the word ’Saez Group’ in the email subject. Non-specific applications without this expression of interest or sent to a different address will not be considered.

For details click here


Doctoral student in protein design

Lund University was founded in 1666 and is repeatedly ranked among the world’s top 100 universities. The University has 40 000 students and 7 400 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition. The Faculty of Science conducts research and education within Biology, Astronomy, Physics, Geosciences, Chemistry, Mathematics and Environmental Sciences. The Faculty is organized into nine departments, gathered in the northern campus area. The Faculty has approximately 1500 students, 330 PhD students and 700 employees.

Qualifications

  • The applicants should have a master degree (or equivalent) in biochemistry, biotechnology, biophysical chemistry or other relevant fields.
  • Should have a strong background in structural biology
  • Proven experience with synthetic biology/DNA technology
  • Should have experience with biophysical characterization of proteins
  • Statistics and math course at University level
  • The candidate must be fluent in English (written and spoken).
  • Should be able to interact smoothly and efficiently with the other members of the team with different scientific backgrounds.

Specific experience with one or more of the following represents an advantage:

  • Protein design
  • Fluorescence activated cell sorting
  • Bioinformatics and computational structural biology

For details click here


Posted on September 24, 2018

PhD Studentship: Artificial Intelligence for Multi-Parametric Design of GPCR Ligands

Applications are invited for a 4-year BBSRC Industrial CASE studentship starting in October 2019 in the research group led by Dr Andreas Bender to work on a project which will aim to utilise, and develop further, recent developments in the Artificial Intelligence and data mining to develop computer algorithms for drug design. In particular, algorithms will be applied to and tested experimentally on a major protein target class of current drugs, namely G-Protein Coupled Receptors (GPCRs), a family of receptors linked to a wide range of human disease states, including Alzheimer's disease and cancers.

Applicants should have (or expect to obtain) the equivalent of a UK first class or upper second-class honours degree (and preferably a Masters degree) in either a relevant natural science (e.g. chemistry, pharmacology, biochemistry, molecular biology) or computer science/related field (such as bioinformatics), with working knowledge of (or a strong interest in) the respective other field. Expertise in the areas of scientific programming (Python, C, Perl, or other languages), ligand- or structure-based drug design, and data mining packages (such as R, Scikit-learn, Matlab) would be very beneficial, as would be a general scientific understanding of chemical and biological information-gathering and an interest in drug discovery chemistry.

The studentship will provide a maintenance grant and tuition fees at the UK/EU rate, and is available to UK and EU students who meet the UK residency requirements of the Research Councils. Students from EU countries who do not meet the residency requirements may be eligible for a fees-only award. Owing to funding restrictions imposed by the sponsor, non-EU citizens cannot be considered.

Reference MA16826

Closing date 5 December 2018

For details click here


Doctoral Candidate positions in Neuroscience and Neurotechnology

Aalto University is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving grand societal challenges and building an innovative future. Aalto University has six schools with nearly 11 000 students and nearly 400 professors. Our campuses are located in Espoo and Helsinki, Finland.

One of the focus areas of Aalto University School of Science is Neuroscience and Neurotechnology. Research and teaching in this area is most active at the Department of Neuroscience and Biomedical Engineering http://nbe.aalto.fi/en/ , located at the Health Technology House. We have developed several world-leading technologies and have pioneered their use in scientific experimentation and clinical applications. The technologies developed include magnetoencephalography (MEG), electroencephalography (EEG), transcranial magnetic stimulation (TMS), near infrared spectroscopy (NIRS), special techniques for magnetic resonance imaging (MRI) and innovative combination of different methodologies.

We are looking for highly motivated students to work in three ambitious projects with high potential impact:

  • Development of shim coils for 3T MRI. Tasks include numerical simulations, hardware construction, neuroscience experiments, and clinical applications.
  • Simultaneous EEG and fMRI. Tasks include experimental design, behavioral data and imaging data collection and analysis.
  • Simultaneous TMS and fMRI. Tasks include hardware development, experimental data, data collection and analysis.

Requirements

  • Major in electrical engineering, biomedical engineering, computer science, physics, or mathematics
  • Preferred taken courses: linear algebra, signal processing, optimization, electromagnetism, electrical circuits, statistics
  • Good english

Closing date:  September 24, 2018

For details click here


Posted on September 21, 2018

PhD Position in Computational Biology

The University of Navarra is a Catholic University founded in 1952. We are proud of our academic integrity, international focus and the professional development of our students. We are ranked 37th in the world in the 2017 QS Graduate Employability Ranking. We are also ranked as the best Spanish private university by the "El Mundo” Ranking. We are also 245th in the QS World University Ranking. Tecnun shares resources, facilities and personnel with its associated Research Centre, Ceit-IK4, a renowned multidisciplinary institution with more than 200 researchers that carry out applied reserach for companies at both the local and international level.

A PhD position are open in the Bioinformatics group at the School of Engineering of University of Navarra, TECNUN, which is located in San Sebastian, one of the most beautiful cities in Spain. Our group spans the areas of personalized medicine and nutrition, as well as systems pharmacology, with a clear focus on genome-scale metabolic networks and applications to cancer, obesity and rare diseases. Candidates interested in using computational tools and mathematical models to analyze large-scale meta-omics data in the context of personalized nutrition are encouraged to apply.

Candidates must hold a degree in statistics, mathematics, physics, engineering or computer science, or a degree in biological science with substantial experience in bioinformatics and systems biology, as well as programming skills.

Send the following documentation by email to Francisco J. Planes fplanes@tecnun.es​

Click here for details


PhD position in  Biology

The department is integrated within the natural sciences campus of the University of Zurich, the largest University in Switzerland and one of Europe`s leading research centers that offers several excellent core technology facilities such the Function Genomics Center, the Imaging and Flow Cytometry Center and the Animal Facilities.

Your PhD thesis project deals with the role of the ADP-ribosyltransferase ARTD1 in the modulation of the inflammatory response of individual immune cell types. This is important to understand because inhibitors of ADP-ribosylation (so-called PARP inhibitors) are currently used in cancer treatment and have been also found to suppress inflammatory conditions, but the mechanistic pathway is still not well understood.

We are thus seeking a highly-motivated individual with prior experience with cell culture work and if possible in mass spectrometry or computational sciences and willingness to perform in vivo experiments. The applicant should be an independent thinker and problem-solver who is willing to work in a team, and accept new challenges arising from working in a high-paced scientific environment. The applicant should also have good communication and writing skills, a curiosity-driven attitude and demonstrate enthusiasm and flexibility.

The successful applicant will be expected to support the ongoing research focus of the Hottiger group and will take part in ongoing activities focused on bioinformatics analysis of mass spectrometry data of cultured cells or tissues (human and mouse).

Click here for details


Posted on September 19, 2018

Doctoral (PhD) student position in integrative omics data analysis

The Department of Medical Epidemiology and Biostatistics (MEB) is among the largest departments of epidemiology in Europe with special focus on increasing our knowledge of the aetiology of different diseases. Our department consists of researchers, doctoral students, biostatisticians, data collectors and database administrators as well as administrative personnel, in total some 250 staff. The department is situated at campus Solna.

This project is under supervision of an interdisciplinary team, including Dr. Xia Shen experienced in statistical genomics, statistical modeling and software development, Dr. Fang Fang with expertise in epidemiological studies such as the areas of psychological and neurological disease, Dr. Nghia Vu who is an expert in statistical and computational methods for cancer genomics data, and Prof. Yudi Pawitan with strong expertise in biostatistics, bioinformatics and high-throughput molecular data modeling. The supervisory team is highly experienced in the relevant subject areas and active in national and international collaborations.

The overall aim of the project is to identify complex disease signatures such as neurological disorders and cancers on single cells and extracellular vesicles (EVs), by integrative analysis of our measured single-cell omics data, our uniquely available single-EV proteomics data, genome-wide association studies (GWAS) summary-level data, and other types of omics data. The project trains the doctoral student with sufficient omics data science expertise for modern precision medicine research.

General entry requirements
A person meets the general entry requirements for doctoral/third-cycle/PhD education (according to Higher Education Ordinance Chapt 7, section 39) if he/she:

  1. has been awarded advanced/second-cycle/master qualification (i.e. master degree) or
  2. has satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the second-cycle/master level, or
  1. has acquired substantially equivalent knowledge in some other way in Sweden or abroad.

Last application date 08.Oct.2018 11:59 PM CET

Click here for details


Doctoral student in biotechnology

Lund University was founded in 1666 and is repeatedly ranked among the world’s top 100 universities. The University has 40 000 students and 7 400 staff based in Lund, Helsingborg and Malmo. We are united in our efforts to understand, explain and improve our world and the human condition. LTH forms the Faculty of Engineering at Lund University, with approximately 9 000 students. The research carried out at LTH is of a high international standard and we are continuously developing our teaching methods and adapting our courses to current needs.

Subject description Biotechnology is of key importance for the transition to a sustainable society. Biotechnology research develops and exploits microorganisms or components of microorganisms to attain useful technological goals with environmentally sustainable methods. The areas of application include environmental biotechnology, industrial biotechnology and biotechnology in healthcare.

The specialisations of the research studies subject are:

  • Microbial and enzymatic methods of producing chemicals, materials and energy carriers from renewable raw materials.
  • Increased use of biorefineries through use/development of biotechnical methods/Tools.
  • Biotechnical methods of cleaning contaminated Environments.
  • Development of efficient microorganisms and enzymes through methods of molecular biology and enzyme technology as catalysts for these processes.
  • Insulation and use of microorganisms and enzymes from extreme Environments.
  • Development of bioanalyses and biosensors for use within the healthcare, environment and processing sectors.

A person meets the specific admission requirements if he or she has

  • at least 30 credits in the field of bioscience, including at least 15 second-cycle credits, and a second-cycle degree project of 30 credits in the field, or
  • an MSc in engineering or a comparable second-cycle qualification, including elements of applied bioscience.

Click here for details


Posted on September 17, 2018

PhD Fellowship in Scientific Database Development(Bioinformatics)

The Computational Drug Design Group (Gloriam group), University of Copenhagen, Copenhagen, Denmark and ENAMINE, Research and Development, Kiev, Ukraine wishes to employ a 3-year PhD Fellow for a Scientific Database Development project. The project starts 1. December 2018 or as soon as possible.

ENAMINE (Kiev, Ukraine) will employ the fellow for the first 32 months. You will first train for 15 months at the University of Copenhagen (Denmark) – the first 8 months jointly with 3 other project PhD Fellows. The next 17 months will be spent with two other fellow PhD students at ENAMINE (Kiev, Ukraine). During the final 4 months of the fellowship, the employer will be the University of Copenhagen, however with a flexible work place, as it is custom to use this time to write the PhD thesis with little other work.

This position is one of five that are part of the EU-funded project, SAFER (www.safer-itn.eu). This is an ambitious interdisciplinary European Industrial Doctorates (EID) programme under the Horizon 2020 Marie Skłodowska-Curie Actions (MSCA-ITN-EID, Grant agreement: 765657), which offers positions with competitive salaries and family allowances. All five PhD students/Researchers will obtain ample scientific, business and transferrable skills at excellent research environments meriting themselves for international academic or industrial careers.

Qualification requirements

  • A MSc degree in in bioinformatics, computer sciences or similar
  • Solid knowledge in shell scripting, programming in Python or other languages, and web development
  • Some experience of molecular biology
  • Experience of data analysis
  • Demonstrated ability to independently learn new concepts and solve biological problems
  • Fluency in English and experience in writing scientific texts

For more information click here


PhD positions in molecular, cellular and systemic psychiatric research

The International Max Planck Research School for Translational Psychiatry (IMPRS-TP) is offering PhD positions in molecular, cellular and systemic psychiatric research. Students are exposed to a wide range of scientific questions and methods covering areas of molecular medicine, neuroscience, psychiatry, quantitative epigenetics and imaging, neuroimaging, design-based stereology and clinical studies.

In addition to the traditional doctorate positions, trainee medical doctors are given the opportunity to be enrolled on an integrated PhD/residence program in psychiatry. Highlighting the translational facet, doctorate students will receive insights into clinical aspects of disease and trainee medical doctors will gain PhD level research expertise, while also developing their clinical skills.

IMPRS-TP welcomes applications from doctoral candidates coming from any country who hold a 4 year Bachelor or Master of Science (or an equivalent degree) in a relevant field or a Medical Degree. Applications from trainee medical doctors with laboratory experience are particularly encouraged. IMPRS-TP will only accept applications submitted through the IMPRS-TP online application tool: https://imprs-tp.cloud.opencampus.net/ . Applications submitted by mail or email will not be considered. The application window opens 15 September 2018. Application deadline is 15 December 2018, noon.

For details click here


Posted on September 14, 2018

PhD Positions on Aging and Mitochondrial Diseases (Bioinformatics)

The University of Lausanne is a higher teaching and research institution composed of seven faculties where approximately 15,000 students and nearly 5,000 collaborators, professors, and researchers work and study. Ideally situated along the lake of Geneva, near Lausanne's city center, its campus brings together over 120 nationalities. Our group is part of the Department of Pharmacology and Toxicology of the University of Lausanne. We are focused on the development of novel therapeutic interventions against aging and mitochondrial diseases. Two PhD positions are available.

Your responsibilities
Two PhD positions are available in the laboratory of Alejandro Ocampo at Department of Pharmacology and Toxicology of the University of Lausanne in Switzerland.
PhD Position 1 – Aging: The candidate for this position will focus on the study of the role of epigenetics as driver of aging and the development of novel therapeutic strategies based on epigenetic reprogramming.
PhD Position 2 – Mitochondrial diseases: The candidate for this position will focus on the development of novel therapeutic strategies for the treatment of mitochondrial disease patients.

Your qualifications

  • Master degree in biology, biochemistry, or a related discipline.
  • Willingness to change the world. High motivation, creativity and ability to work in a team.
  • Fluency in English (oral and written).
  • Previous cell culture or animal experience (desirable).
  • Position 1: research experience in the fields of aging, epigenetics or bioinformatics.
  • Position 2: research experience in the fields of mitochondrial diseases or pluripotent stem cells.

Contact for further information

Prof. Alejandro Ocampo

Email: alejandro.ocampo@unil.ch

Your application Deadline : 15.10.2018

For more information click here


PhD student position in Biotechnology Engineering and Bioinformatics

Uppsala University is a comprehensive research-intensive university with a strong international standing. Our mission is to pursue top-quality research and education and to interact constructively with society. Our most important assets are all the individuals whose curiosity and dedication make Uppsala University one of Sweden’s most exciting workplaces. Uppsala University has 42,000 students, 7,000 employees and a turnover of SEK 6.7 billion.

A PhD student position is available in the laboratory of Lars Forsberg at Uppsala University, Dept. of Immunology, Genetics and Pathology. We are looking for a highly motivated individual with interest and experience in bioinformatics. The project will be focused on characterization and analyses of phenotypical effects from post-zygotic mutations, i.e. during life time acquired somatic genetic variation.

Qualifications: Applicants should have MSc degree in a relevant area (e.g. Master of Science in Molecular Biotechnology Engineering and Bioinformatics). Experience in working with R and documented training of analyses of single-cell data are required. Previous practice of bioinformatic analyses of genetic disease, somatic mutations and WGS data are meriting. Successful applicants is used to working in Linux/Unix and familiar with scripting in languages such as Bash, Java, Perl and Python. Personal qualities will be of importance and excellent skills in oral and written English are meriting.

Number of reference: UFV-PA 2018/3060

Last application date: 2018-09-26

For details click here


Posted on September 12, 2018

Doctoral student in Computational Biology

Lund University was founded in 1666 and is repeatedly ranked among the world’s top 100 universities. The University has 40 000 students and 7 400 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition. The Faculty of Science conducts research and education within Biology, Astronomy, Physics, Geosciences, Chemistry, Mathematics and Environmental Sciences. The Faculty is organized into nine departments, gathered in the northern campus area. The Faculty has approximately 1500 students, 330 PhD students and 700 employees.

The successful applicant will work on Systems Biology projects pursued in close collaborations with stem cell and cell reprogramming research groups. The projects will imply development and application of computational models for gene regulatory networks governing cell fate decisions. The aim is to disentangle mechanisms controlling stem cell decisions and make model predictions that lead to improved cell differentiation and cell reprogramming for neurons and T- cells. The computational models will be multi-level -- multi-scale models taking into account various level of cell regulation both in single cells and in cell populations.

Qualifications
The position is open to students of all nationalities who fulfil the basic and special eligibility demands in the study plan http://www.science.lu.se/sites/science.lu.se.internal/files/syllabi_theoretical_physics.pdf . In brief, the requirements are that the student, at the time of starting the PhD studies, have completed a master degree in biomedical subjects, chemistry, physics, mathematics or computer science and 60 second-cycle credits in bioinformatics, computational biology or associated subjects, i.e. a total of at least four years of full-time University studies (240 ECTS credits).

Reference number PA2018/2518

Last application date 15.Sep.2018 11:59 PM CET

For more information click here


PhD position in Clinical Genetics

The Department of Laboratory Medicine is one of six departments at Lund University’s Faculty of Medicine. We conduct leading research, both broad and specialised, within the field of laboratory medicine, focusing on the onset of disease and how we can improve diagnostics and treatment for patients. Some of our strongest areas with world-class research deal with cancer, genetics and blood.

The PhD project will focus on functional evaluation of gene fusions in in vitro systems. Of particular interest are assays involving chromatin immunoprecipitation followed by deep sequencing (ChIP-Seq) to identify target genes for chimeric transcription factors. Also other molecular and molecular cytogenetic techniques, notably single nucleotide polymorphism (SNP) arrays as well as bioinformatic analysis of sequencing data will be required.

Qualifications
The applicant must be a highly ambitious and motivated individual. The applicant's prior level of education should be within the field of molecular biology, and the applicant should have knowledge and documented experience in tumor genetics, and SNP array and ChIP-Seq analyses. Basic knowledge of LINUX and the statistic environment R is also qualifying. The applicant should be fluent in English.

Last application date 23.Sep.2018 11:59 PM CET

Reference number PA2018/2989

For details click here


Posted on September 10, 2018

PhD student in Systems Biology of Ageing in Yeast

The department of Mathematical Sciences is a joint department between University of Gothenburg and Chalmers University of Technology located at the Chalmers campus Johanneberg. We conduct internationally successful research in a number of areas in pure and applied mathematics, and mathematical statistics. The department is an important partner of other sciences and industrial projects.

You will work in a dynamic research environment at the interface between biology and mathematics to address central problems of cellular ageing. Biological experiments and mathematical modelling will be closely integrated into most of the work. Ageing is a process consisting of many interacting subsystems, it is necessary to account for numerous factors simultaneously by applying large-scale modelling approaches. It is tightly coupled to metabolic and signaling processes like metabolism and nutrient availability. As sensors of the current environmental status, nutrient signaling pathways represent central aging regulators.

Applicants for the position should have a strong background in systems biology, biotechnology or molecular biology. They must have obtained a master's degree or a 4-year bachelor's degree, or expect to complete that degree by the start of the employment. Candidates should have excellent communications skills, strong self-organizing skills and ability to work within an interdisciplinary setting. Fluency in English is expected.

Closing date: September 10, 2018.

For more information click here


PhD candidate at the Department of Clinical Genetics

During the course of this PhD research, you will investigate the effect of early environment on preimplantation and prenatal development. In line with DOHaD hypothesis (a.k.a. Barker’s hypothesis), you will explore if the early environment (nutrition), including both preimplantation and intrauterine environment, alter cellular states with subsequent impact on health and disease at later stages of the development. Specifically, you will profile different molecular layers, namely genome, methylome and transcriptome, of single cells derived from synthetic blastocyst-stage mouse embryos (blastoids) as well as day-3 and day-6 preimplantation human embryos.

Requirements

Background

  • M.Sc. in Life Sciences or Medicine, preferably in Molecular Genetics or Bioinformatics

Skills

  • A scientific mindset, critical thinking capacity and a strong interest in computational biology
  • Excellent communication skills and the ability of working in a team
  • Experience with high-throughput molecular assays including next-generation sequencing is a plus
  • Experience with programming languages and object-oriented programming is a plus, but not absolutely required.
  • Experience with machine learning is an advantage, but not a prerequisite.

Closing date: September 30, 2018.

For details click here


Posted on September 07, 2018

11 PhD student positions in the field of Regulatory Genomics

Complex developmental processes enable an organism to differentiate a multitude of cell types from one genome, and they are encoded in intricate gene regulatory mechanisms. The completion of the human genome provided a starting point for deciphering the code that controls gene regulation, from its context in three-dimensional chromosome folding to how specific transcription factors act, and finally, to its product as RNA or protein.

In an alliance between Berlin institutions (led by Humboldt University) and Duke University, the DFG-funded international research training group (IRTG2403) aims to teach the next generation of researchers a quantitative understanding of genome function and gene regulation within the context of biological systems.

Combining experimental and computational approaches, we provide opportunities for PhD students to work in three complementary areas:

  • High-throughput genomics and editing
  • Computational biology and machine learning
  • Developmental systems biology

Doctoral researchers obtain a significant amount of their training at the partner institution, thereby benefitting from the synergy and expertise at both sites. They are co-advised by computational and biological experts from both sides of the Atlantic throughout their training.

For more information click here


PhD fellow in Immunology

Ghent University Global Campus, South Korea, has a vacancy for a full-time teaching assistant position, possibly leading to a PhD graduation in the area of Immunology, (starting date: October 1st or as soon as possible, open to negotiation). It concerns a 1-year full-time position for a renewable period of maximum 4 years. The candidate will work under the supervision of Prof. Stefan Magez and Prof. Magdalena Radwanska at the Biomedical Research Center. The selected candidate is expected to teach undergraduate practical courses, design and perform high-quality scientific research at Ghent University Global Campus, South Korea.

The research topic focuses on inflammatory responses induced by trypanosome parasites and includes the transcriptomic analysis of key immunomodulatory and effector cells. Bioinformatics data analysis will be crucial to the completion of the project. Knowledge of biochemical pathways that govern host-parasite interactions is a prerequisite for this work.

Required Skills

  • Master degree in one of the following sciences: Immunology, Microbiology, Biology, Biochemistry, Molecular Biology, Bio-engineering or equivalent.
  • Have at least 3 years of relevant work experience after the Master's degree in case the candidate does not have the Korean nationality (visa requirement Korean government).
  • Teaching education experience in terms of practical course guidance, and experience in an international academic education setting.
  • The ability to design and perform high-quality scientific research.
  • The ability to publish your results in peer-reviewed international journals and actively participate in international conferences

Last application date Dec 31, 2018 18:00

For details click here


Posted on September 05, 2018

PhD Opportunities in Biomedical/ Biological Sciences

The Department of Anatomy has a range of exciting, leading-edge, biomedical/biological science PhD projects available. For suitably qualified students, PhD scholarships may also be available. Scholarships provide $25,000 plus tuition fee waiver.

The University of Otago is one of the most research-intensive universities in New Zealand with a world-class reputation in the life sciences. The Anatomy Department is the largest, most diverse, research-oriented Department within the Division of Health Sciences.

The Anatomy Department’s areas of research excellence include biological anthropology, clinical anatomy, neuroscience, reproduction, genomics and development.

For details click here


PhD student position in Medical Science : Traslational metabolism research

Our primary research focus at Department of Molecular and Clinical Medicine is on metabolism, diabetes, obesity and cardiovascular disease. We support and promote research and teaching in translational medicine to improve health and to benefit society.

The PhD education in Medical Science corresponds to studies of 240 credits in total. The studies are equivalent to four year full-time and lead to a Degree of Doctor. The studies comprise carrying out a scientific project and completing at least 30 credits of courses at third-cycle level. The doctoral student must also write a scientific compilation thesis or monograph corresponding to at least 120 credits.

Eligibility

To be eligible for third-cycle studies, the applicant must meet both the general and specific entry requirements.

A person meets the general entry requirements for third-cycle studies if he or she:
1. has been awarded a second-cycle qualification
2. has satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the second-cycle, or
3. has acquired substantially equivalent knowledge in some other way in Sweden or abroad

Closing date 2018-10-31

For details click here


Posted on September 03, 2018

PhD Studentship - Defining biomarkers of tyrosine kinase inhibitor

The Institute of Cancer Research, London, is one of the world’s most influential cancer research institutes, with an outstanding record of achievement dating back more than 100 years. We provided the first convincing evidence that DNA damage is the basic cause of cancer, laying the foundation for the now universally accepted idea that cancer is a genetic disease. Today, The Institute of Cancer Research (ICR) leads the world at isolating cancer-related genes and discovering new targeted drugs for personalised cancer treatment.

Applications are invited from talented graduates or final year undergraduates who hold or expect to gain a first or upper second class honours degree or equivalent, or a Masters degree, in a relevant discipline. This studentship will be suitable for a student with a background in Bioinformatics, Cancer Informatics, Computer Science, Maths and Statistics or equivalent disciplines. Exposure to Biological Sciences or Cancer Biology would be an advantage.

Closing Date 28/09/2018, 23:55

For more information click here


PhD Student Genetic Epidemiology

The German Center for Neurodegenerative Diseases (DZNE) is a unique non-university research center which is dedicated to the subject dementia and all its areas, as well as other neurodegenerative diseases. The center compasses the full spectrum of fundamental research through population sciences to health care research. The DZNE stands for excellence in research and science management, translation of scientific results into practice, interdisciplinarity and internationalization.

Population Health Sciences at the DZNE aims to study determinants of normal and pathological mental and physical function over the adult life course, with a special emphasis on neurodegenerative diseases. To this end we have established the Rhineland Study, a prospective population based cohort study that will include up to 30,000 people aged 30 years and over and is designed to run for decades.

The main aim of this PhD project is to elucidate the role of genetic variation and dietary patterns in brain structure and function across life span. To this end, various dietary assessments in participants from the Rhineland Study will be obtained and linked to biochemical, clinical and imaging outcomes, including genetic variation, methylation and gene expression profiles, brain structure and cognition.

We are looking for a highly talented, motivated, enthusiastic and ambitious researcher with good social skills. Successful candidates hold a degree in computational biology, molecular biology, biomedical sciences or related discipline and have experience in any of the following areas: large-scale genetic data analysis, bioinformatics, or programming.

Application deadline 30.09.2018

For more information click  here


Posted on August 31, 2018

9 PhD Positions in the fields of Infection Biology and Immunology

The ZIBI Graduate School Berlin is an international doctoral program for research in infection biology and immunology. We are the roof of the International Max Planck Research School for Infectious Diseases and Immunology (IMPRS-IDI), the DFG Research Training Network 2046 “Parasite Infections: From Experimental Models to Natural Systems” and the Leibniz Graduate School for Rheumatology (LGRh). Our mission is to develop students into creative, responsible and self-confident young researchers.

Projects will start in spring / summer 2019. They are in the areas of:

  • Host-pathogen interaction
  • Pathogenicity mechanisms
  • Host-pathogen co-evolution
  • Chronic inflammations and autoimmune diseases
  • Development, differentiation and activation of immune cells
  • Antiviral and antimicrobial strategies and vaccine development

We are looking for highly motivated PhD candidates of all nationalities who are strongly committed to research and share our vision to improve world health. If you want to join us please apply until October 7th 2018 via our online application platform.

For more information click here


PhD position in Life Sciences/ Bioinformatics

As part of a BBSRC-funded Collaborative Training Partnership (CTP) between the Eli Lilly and Company Ltd and the Arthritis Research UK Pain Centre https://www.nottingham.ac.uk/paincentre/index.aspx, University of Nottingham, we have a 4-year fully-funded PhD position available. The project will explore the impact of healthy aging on the processing of nociceptive inputs by the spinal cord and brain in rodent models. Experimental approaches will include the use of multi electrode array electrophysiology in vivo, transcriptomic analysis of gene expression in discrete spinal cord and brain regions using deepSeq and analysis of functional connectivity data in the rodent. Students will learn the core experimental methods and statistical methods for analysing the complex datasets generated.

Supervisors
Professor Victoria Chapman, Dr Gareth Hathway (Arthritis Research UK Pain Centre, School of Life Sciences, University of Nottingham) and Dr Gary Gilmour (Translational Neuroscience, Eli Lilly & Co. Ltd.).

The successful student will develop skills in vivo methods, transcriptomic approaches and analysis of complex datasets. An academic background in Neuroscience, Physiology or related subject will be an asset, with an interest in bioinformatics and statistics. The student will be based in the School of Life Sciences, University of Nottingham. The supervisors’ research groups are dynamic interdisciplinary teams that explore different aspects of the mechanisms of acute and chronic pain processing over development.

If you have any queries regarding the application process, please contact jane.healy@nottingham.ac.uk

Closing Date Tuesday, 18th September 2018

For details click here


Posted on August 29, 2018

15 PhDs in experimental and computational sciences: Polymers in the Liver

To advance diagnostics and treatment of metabolic diseases beyond the state-of-the-art, a new generation of scientists is needed. The complexity of the metabolic network and its aberrant behaviour in disease require truly interdisciplinary researchers, trained in the three ‘pillars of Systems Medicine’: experimental, computational and clinical research. PoLiMeR aims to train you as a talented PhD student in this field. We bring together clinical, academic, and industrial experts on inherited metabolic diseases, computational modelling of the entire human metabolism, organ-on-chip technology, and detailed metabolic profiling, located in Germany, Luxembourg, Sweden, Norway, and the United Kingdom.

Metabolic diseases are a burden on the European population and health care system. It is increasingly recognised that individual differences with respect to history, lifestyle, and genetic make-up affect disease progression and treatment response. A Systems Medicine approach, based on computational models fed with individual patient data, has the potential to provide the basis for a personalised diagnosis and treatment strategy. The PoLiMeR consortium has identified the inherited, liver-related diseases of glycogen and lipid metabolism as the ideal starting point for innovative research training in personalised ‘Systems Medicine’.

What do we need

  • A(n) (almost) completed master’s degree in a discipline relevant to the PhD position(s) for which you apply
  • Strong motivation for scientific research in an interdisciplinary and international environment
  • Excellent English presentation and writing skills
  • Good organizational and communication skills, being a team-player

For details click here


PhD fellows in Biological Sciences

The Department of Biology is among the largest Departments at the University of Copenhagen. It employs 475 academic and technical staff and hosts research programmes and teaching curricula that cover all major biological sub-disciplines. University rankings typically place the field of biology/biochemistry at the University of Copenhagen first in Denmark and among the top 30 universities internationally. In addition to a PhD-programme, three BSc study programmes (biology, biochemistry, molecular biomedicine) and four MSc study programmes (biology, biochemistry, molecular biomedicine, bioinformatics) engage close to 2000 students.

Applicants should hold a BSc or MSc degree in biology, molecular biomedicine, biochemistry, bioinformatics or closely related field with excellent results. Candidates with a BSc degree will enroll into the 5-year PhD programme while candidates with a MSc degree will enroll into the 3-year PhD programme. The assessment of your qualifications will also be based on previous publications (if any) and relevant work experience

Successful candidates will be requested to formally apply for enrolment as a PhD student at the PhD school of Science, and with the assistance of the Deputy Head of Department for Research select a supervisor from one of the 10 sections at the Department of Biology:

Biomolecular Sciences
Cell and Neurobiology
Cell Biology and Physiology
Computational and RNA Biology
Ecology and Evolution
Freshwater Biology
Functional Genomics
Marine Biology
Microbiology
Terrestrial Ecology

Deadline for applications is September 1st 2018 at 23:59 GMT +2

For details click here


Posted on August 27, 2018

PhD student: Computational Analysis of Pediatric Cancer

The newly established research group “Integrative Analysis of Pediatric Cancer” headed by Florian Halbritter, http://science.ccri.at/research/research-areas/integrative-analysis/integrative-analysis/ at the Children’s Cancer Research Institute (CCRI) is looking for a doctoral candidate / PhD student to join our quest to take apart childhood cancer. We are looking for highly motivated and self-driven individuals who are keen to become scientific contributors to the fight against cancer. You will have experience with computer programming, data analysis, and statistics from your university degree and/or prior work, and you will have a natural aptitude for problem solving.

You will:
• Learn to take on ambitious research in close collaboration with experimental and clinical researchers. You will contribute from the start including planning of experiments and data acquisition. You will provide thorough and creative analysis that makes these projects a success
• Get to know data from state-of-the-art technologies, including but not limited to high-throughput sequencing. You will see technologies as tools to acquire new knowledge

Your qualifications:
• University degree in bioinformatics, computer science, statistics, cognitive science, machine learning, biology or any other discipline proving a sound computational and analytical foundation
• Programming and/or scripting skills in one or more languages, e.g. Python, R, Java, C(++|#), JavaScript, …
• Pragmatic understanding of statistics, good numeric skills, and sound logic

For details click here


PhD Scholarship in Computational Proteomics

The Department of Biochemistry and Molecular Biology at the University of Southern Denmark (Associate Professor Veit Schwämmle) invites applications for a PhD scholarship within the field of computational proteomics to be filled by 1 October 2018 or soon thereafter. Application deadline: 20 September 2018. The computational proteomics research project entails the analysis of abundance profiles of proteins, protein complexes and their post-translational modifications (PTMs) by integrating data publicly available and in-house large-scale studies. The chosen candidate will develop and use computational and statistical tools to elucidate the quantitative patterns over different cell types with focus on mammal tissues. The main focus will be the implementation of rigorous statistical methods and smart visualization and data integration concepts for in-depth analysis of large-scale proteomics and PTM data sets obtained by mass spectrometry (LC-MS/MS).

We are seeking outstanding candidates with strong analytical and problem solving skills, who are strong in written and oral communication, and have documented experience in computational proteomics, bioinformatics or biostatistics. Expertise in the analysis of protein mass spectrometry data is an advantage, but not a requirement. Candidates will be part of a research team, and good interpersonal skills and fluency in the English language (reading/writing/speaking) are a requirement. The successful candidate will participate in independent research projects and assist in the supervision of undergraduate students.

For further information please contact Associate Professor Veit Schwämmle, veits@bmb.sdu.dk

Application deadline: 20/09/2018 

For details click here


Posted on August 24, 2018

PhD Studentship in Computational Biology

Interested in computers as well as biology? Then this project might be what you are looking for! The aim is to use novel software and high-performance computers to model how biological tissue behaves during freezing and thawing.  This project will enable you to gain highly interdisciplinary skills.

You will be supervised by a multidisciplinary team comprising computational biologists and experimental researchers. You will be based at Newcastle University, and also collaborate with computer scientists at CERN to learn the usage and extension of a novel software platform called BioDynaMo.

You must have, or expect to achieve, at least a 2:1 honours degree or international equivalent, in physics, computer science, engineering, mathematics or a related subject.

Application closing date 30 September 2018.

For detail click here


PhD in Cancer Genetics and Oncogenic Signalling

Our research interest spans from gene discovery to functional genomics and signalling in cancer, with a focus on both basic and translational topics. We are developing tools for high-throughput forward and reverse genetics in human cells and mice, which we use to unravel the molecular principles underlying biological processes, such as malignant transformation, tumour evolution, metastasis or drug response/resistance.

We offer several positions in the research areas:

  • Cancer modelling in mice using transgenesis or CRISPR in zygotes or soma
  • Genome-scale screening applications in cancer cells, organoids and model organisms
  • Signalling in cancer
  • Cancer genome analysis using NGS
  • Translational Oncology

We are an enthusiastic interdisciplinary team and offer intensive training and mentoring. We use a broad spectrum of scientific approaches and techniques, including functional genomics, genome informatics, biochemical approaches, in vivo molecular imaging and others. We are also running the "Genomics Unit" on campus. The successful candidates will therefore have continuous access to support by sequencing and bioinformatics experts in our team. The proximity to the clinical facilities also allows insights into clinically relevant aspects of cancer.

Please send your application with relevant documents (CV, certificates, recommendation letters) as one merged PDF to Prof. Roland Rad (e-mail: Roland.Rad@tum.de).

For more information click here


Posted on August 22, 2018

The FMI International PhD Program

The FMI PhD programs offers students the opportunity to carry out cutting-edge biomedical research in a stimulating, highly international and collaborative atmosphere. Affiliated with the Novartis Institutes for BioMedical Research and the University of Basel, the FMI provides interdisciplinary training and access to advanced technologies in the form of state-of-the-art technology platforms, e.g. advanced microscopy, genomics, proteomics, protein structure and bioinformatics.

PhD students work together with internationally recognized scientists in the fields of epigenetics, neurobiology, and quantitative biology, developing their research projects with their group leader. In addition to guidance from their advisor, students are also advised by their thesis committee members, as well as the FMI Dean of Students and the Guidance Counsellor who serve to support their academic and professional development.

A wide range of theoretical and practical courses is available at both the FMI and the University of Basel (see also Graduate Teaching Program of the University of Basel.) After completion of their research, submission of a written thesis and successful thesis defense, candidates are awarded a PhD from the University of Basel.

For more information


PhD in biology: Genetics of long-distance migration

Lund University was founded in 1666 and is repeatedly ranked among the world’s top 100 universities. The University has 40 000 students and 7 400 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.

It is firmly established that the migratory program of naïve song birds is genetically hard-wired. But which genes that encode for variation in migratory direction, distance and timing are yet to be identified. This research is now possible due to the rapidly improving methods in genomic ecology and by the possibilities to obtain details of the migratory path by using light-level geolocators. An excellent model for these questions is the willow warbler with its three subspecies that show remarkably different migratory patterns.

We seek a bright and highly motivated candidate with strong interest in this particular project. The successful applicant should have a Master degree in Biology, with specialization in migration ecology or molecular ecology. The candidate must have documented experience of species identification and capturing of wild passerine birds. A valid driving licence is essential for carrying out the project. The candidate should also have good analytical skills as well as good oral and written communication skills in English.

Students with basic eligibility for third-cycle studies are those who- have completed a second-cycle degree- have completed courses of at least 240 credits, of which at least 60 credits are from second-cycle courses, or- have acquired largely equivalent knowledge in some other way, in Sweden or abroad.

Reference number PA2018/2464

Last application date 29.Aug.2018 11:59 PM CET

For more information click here


Posted on August 20, 2018

Three PhD Positions in Chemical Biology / Biochemistry

Three PhD positions in chemical biology / biochemistry are available at the Department of Physics and Chemistry, University of Southern Denmark. Application deadline: 1 September 2018. Starting date of all positions will be as soon as possible thereafter.

Epigenetics most often refer to processes, such as enzymatic modifications of DNA and numerous posttranslational modifications of the associated histone proteins, that lead to the transfer of genetic information from generation to generation, without changes in the underlying sequence of DNA.

As a PhD student, you will work on the ERC funded project that aims to provide the most comprehensive and complete understanding of biomolecular recognition processes in epigenetics that play key roles in human health and disease.

Requirements:
• an MSc degree in chemistry, biochemistry or molecular life sciences;
• experience with protein or peptide research;
• strong motivation and interest in working at the interface between chemistry and biology;
• excellent skills in written and spoken English.

Deadline 2018-Sept-01

For detail click here


PhD in Biophysics/ Computational Biology

The Dulin lab has one fully funded position for a PhD in biophysics to study protein-nucleic acids interactions using single-molecule techniques such as high throughput magnetic tweezers. RNA viruses are an important group of human pathogens that includes current threats such as Ebola, Zika, dengue and SARS virus. The replication machinery of these viruses is essential to form new infectious virus particles and for viral adaptation to the host defense response.

Qualifications:

We are seeking for

  • an outstanding experimentalist with a master degree in Physics or Biophysics and experience in optics,biophysics (experimental or theoretical), and computer programing (Labview, Python, Matlab, C++…).
  • a creative and hard working individual that has a strong interest in crossing research fields.

She/He will successfully develop and combine different expertise in physics, biology and software programming to unravel RNA virus replication dynamics. Proficiency in English (both speaking and writing) is required.

Application deadline: September, 15 2018

For detail click here


Posted on August 17, 2018

Doctoral student in Computational Biology

Lund University was founded in 1666 and is repeatedly ranked among the world’s top 100 universities. The University has 40 000 students and 7 400 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition. The Faculty of Science conducts research and education within Biology, Astronomy, Physics, Geosciences, Chemistry, Mathematics and Environmental Sciences. The Faculty is organized into nine departments, gathered in the northern campus area. The Faculty has approximately 1500 students, 330 PhD students and 700 employees.

The successful applicant will work on Systems Biology projects pursued in close collaborations with stem cell and cell reprogramming research groups. The projects will imply development and application of computational models for gene regulatory networks governing cell fate decisions. The aim is to disentangle mechanisms controlling stem cell decisions and make model predictions that lead to improved cell differentiation and cell reprogramming for neurons and T- cells. The computational models will be multi-level -- multi-scale models taking into account various level of cell regulation both in single cells and in cell populations.

The position is open to students of all nationalities who fulfil the basic and special eligibility demands in the study plan http://www.science.lu.se/sites/science.lu.se.internal/files/syllabi_theoretical_physics.pdf . In brief, the requirements are that the student, at the time of starting the PhD studies, have completed a master degree in biomedical subjects, chemistry, physics, mathematics or computer science and 60 second-cycle credits in bioinformatics, computational biology or associated subjects, i.e. a total of at least four years of full-time University studies (240 ECTS credits).

Last application date 15.Sep.2018

For detail click here


PhD in biology - Genetics of long-distance migration

Lund University was founded in 1666 and is repeatedly ranked among the world’s top 100 universities. The University has 40 000 students and 7 400 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.

This project will take advantage of the variation of migratory patterns within the distribution range of the willow warbler that exhibits (1) a sharp migratory divide in Scandinavia, (2) a wider migratory divide south of the Baltic Sea and (3) a gradual change of migration patterns along its continuous distribution eastwards throughout Siberia. A high quality reference genome and already identified candidate regions (on chromosome 1 and 5) that associate with the geographic distribution of the migratory strategies make this project very timely.

We seek a bright and highly motivated candidate with strong interest in this particular project. The successful applicant should have a Master degree in Biology, with specialization in migration ecology or molecular ecology. The candidate must have documented experience of species identification and capturing of wild passerine birds. A valid driving licence is essential for carrying out the project. The candidate should also have good analytical skills as well as good oral and written communication skills in English.

Last application date 29.Aug.2018

For detail click here


Posted on August 15, 2018

PhD student "Deep learning analysis of neuroimaging data"

Amsterdam UMC (University of Amsterdam) has a vacancy for a PhD student. The aim of the project is to develop deep neural network (DNN) analysis of neuroimaging data to enable neuroimaging biomarker development. Neuroimaging data consist of thousands of features but the training of DNNs is typically hampered by limited samples. You will use large existing datasets (>10.000 subjects) for the development of DNN analysis and test the resulting models in smaller samples to develop neuroimaging biomarkers for psychiatric disorders.

We are looking for a highly talented and dedicated PhD student with a (nearly completed) Master’s degree in a computer science, artificial intelligence, bioinformatics, mathematics, statistics, engineering, or related discipline. You have a strong background in mathematics, statistics, and programming, preferably in one of the major frameworks for deep learning like TensorFlow, Pytorch and/or Keras, and preferably have experience with medical image analysis.

Application deadline: 9 September 2018

For detail click here


PhD in Integrating omics and functional datasets

The project aims to develop innovative, predictive models of thrombosis and haemostasis by integrating large data sets. We will use diverse multiparameter data sources to identify rate limiting steps in thrombosis. The data will be obtained from platelet (phospho)proteomics, lipidomics, metabolomics experiments (Dortmund), and matched with platelet signalling and super-resolution microscopy (Birmingham), as well as functional vessel-on-a-chip and thrombosis studies (Maastricht).

Qualifications:

  • An excellent first degree in relevant subject

  • Willingness to work flexibly in order to achieve project demands and targets as agreed with Supervisor is essential. Able to travel to workshops and for research collaboration in other EU countries with notice is essential.
  • Masters degree in relevant subject

APPLICATION DEADLINE 01/10/2018

Apply here


Posted on August 13, 2018

PhD Student in Metagenomics

The Department of Marine Microbiology and Biogeochemistry (MMB; Principal Investigator dr. Anja Spang) is looking for a highly motivated PhD student with a background in bioinformatics, phylogenetics, genomics, evolutionary biology, biochemistry or related fields who would like to contribute to a better understanding of the metabolic diversity and the deep evolutionary roots of the Archaea.

The research team of dr. Anja Spang (partially sponsored by a WISE fellowship granted by the Dutch Research Council) has a key interest in the role of evolution and symbiosis in shaping the diversity of life on Earth ranging from the origin of the archaea, the eukaryotic cell, to symbiotic relationships between different extant microbial groups, such as syntrophic and symbiotic interactions involving archaeal partners.

We like to get in contact with a highly motivated young researcher with training in phylogenetics, phylogenomics, metagenomics, microbiology or related fields willing to learn and apply cross-disciplinary approaches. Experience in the use of the command line and Unix, as well as in the application of programming languages such as R and Python, are of advantage. Basic knowledge of biochemistry and molecular tools is a plus. Finally, due to the international character of our research, good command of English, spoken as well as written, is a prerequisite.

CLOSING DATE: September 15th, 2018

For detail click here


PhD student in Bioinformatics / Biochemistry

The Max Planck Institute of Biochemistry is one of the world’s leading research institutes in molecular and cell biology. With its 35 research groups and a staff of more than 850 scientists, the institute offers an outstanding research environment with in-house facilities for imaging, next-generation sequencing, mass spectrometry and bioinformatics.

The Department for cellular and molecular biophysics is searching for enthusiastic early-career scientists (m/f) to join interdisciplinary projects studying the origin of life. The positions are part of the recently founded Collaborative Research Center "Emergence of Life - exploring mechanisms with cross-disciplinary experiments". Within this new research network, especially in collaboration with the Mutschler Group at the MPIB and the Braun Group at the LMU, we seek a PhD student (m/f), to start immediately (ref.no. 26.18).

Applicants should hold a Master's degree or a similar qualification. As the research will be at the interface of biology, physics and chemistry, applicants with a background in any of the natural sciences, ideally with an interdisciplinary background are welcome. To apply, please send a cover letter, academic CV and the contact details of two references to Petra Schwille (schwille@biochem.mpg.de).

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Posted on August 10, 2018

PhD Position in Biotech Data Science

Job Summary:

  • Full-Time PhD Position – Ghent University Global Campus
  • Department: Department of Environmental Technology, Food Technology and Molecular Biotechnology (KR01)
  • Degree: Master degree in one of the following: Computer Science, Electrical Engineering, Statistics, or (Applied) Mathematics
  • Contract: 1-year contract, renewable (max. 4 years)
  • Occupancy rate: 100% -
  • Vacancy Type: Assistant Academic Staff
  • Last application date: August 16, 2018 12:00 (Applicants are encouraged to apply immediately as the position will be filled upon findingthe right candidate)
  • Starting date: August 27, 2018 (negotiable)

Job Description:

  • Assist his/her supervisors in teaching undergraduate courses at Ghent University Global Campus, Korea (informatics, bioinformatics, statistics and/or mathematics)
  • Conduct personal (applied) research in the area of (large-scale) machine learning, with a particular focus on applying novel deep learning techniques to biotech data that are visual and/or textual in nature (e.g., medical image analysis, hyperspectral image analysis, genomic/proteomic data analysis, …).
  • Assist his/her supervisors with tasks in ongoing and future R&D projects.

Profile of the candidate:

  • Hold, or expect to hold, by September 2018, an MSc degree in one of the following disciplines: Computer Science, Electrical Engineering, Statistics, or (Applied) Mathematics.
  • Have a high level of comfort with computer programming (e.g., C/C++ and/or Python) and statistical data analysis.
  • Be highly motivated to conduct (applied) research in the area of (deep) machine learning.
  • Experience with machine learning/computer vision tools (e.g., TensorFlow, PyTorch, OpenCV) and GPU programming is a plus. 
  • Experience with R is a plus.

Last application date Aug 16, 2018 12:00

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PhD positions in gene regulation

We are looking for highly motivated PhD students to join the new international training program "Dissecting and re-engineering the regulatory genome", bringing together several research institutes in Berlin led by Humboldt University. Our aim is to teach the next generation of researchers a quantitative understanding of genome function and gene regulation within the context of biological systems.

Our interdisciplinary focus is set at the intersection of high-throughput genomics and genome editing; computational biology and machine learning; and developmental systems biology. Applicants are required to have a competitive track record demonstrating a strong interest in research, as well as a Master's degree in a relevant subject (biology, genetics, bioinformatics, …).

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Posted on August 08, 2018

PhD Fellow in Bioinformatics

The University of Luxembourg (UL) and Luxembourg Institute of Socio-Economic Research (LISER) invite applications for a DRIVEN PhD Fellow (Doctoral Candidate) position (m/f) as part of the DRIVEN Doctoral Training Unit (https://driven.uni.lu), consisting of 19 doctoral candidates. DRIVEN is funded by the FNR PRIDE funding instrument https://www.fnr.lu/funding-instruments/pride/.

Biomarker detection in Clinical Cohort Data using Machine Learning. Multivariate analyses available through machine learning are able to quickly and reliably indicate potential biomarkers. Objectives: 1) investigate clinical cohort data on quality and collate different data formats into a unified data resource; 2) assess applicability of different machine learning approaches for use in clinical cohort analysis; 3) identify potential biomarker signatures.

Your Profile:

  • Master's degree in Bio-Informatics, Systems Biology, Computer Science or similiar.
  • Good English language skills.
  • Willingness to work in an inter-cultural and international environment.
  • Ability to work independently and as part of a team.
  • Curiosity and self-motivation.

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PhD candidate in Immuno-oncology/ Genomics

Within the Department of Medical Oncology, we are looking for a highly motivated PhD candidate with demonstrated interest in performing translational research on cancer patients. Our mission is to personalize anti-cancer treatment for our patients with cancer; we are striving to improve patient stratification for targeted therapy and immunotherapy by matching optimal treatment based on next-generation sequencing results within the framework of multidisciplinary molecular tumour boards (MTB).

You will work together with the Department of Human Genetics on introducing state-of-the art next-generation sequencing (NGS) assays (real-time PCR and hybrid capture-based NGS tests) into the clinic for non-invasive assessment of specific aberrations and molecular signatures in the cell-free circulating tumour DNA (ctDNA). For the analyses of both NGS and immunoprofiling techniques, you will be working closely together with the bioinformatic teams from Genome Bioinformatics, Center for Molecular and Biomolecular Informatics (CMBI), Radboud Technology Center Bioinformatics, and Tumour Immunology Laboratory.

This PhD project is funded by the Paul Speth Fund. Within this multidisciplinary framework your thesis will focus on predictive biomarker discovery, and validation of these biomarkers utilizing non-invasive blood tests. These results will form the basis of your PhD research.

We are looking for an enthusiastic PhD candidate with a who is keen to join the Department of Medical Oncology to help us in our mission to provide a more personalized therapy for patients with cancer.Strong interest in performing translational cancer research. The PhD candidate can either be a MSc or a medical doctor (MD).

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Posted on August 06, 2018

8 Doctoral candidate (PhD Student)Positions

Luxembourg is a highly dynamic, multicultural country in the heart of Europe with a strong research and development base supported by important financial and organisational resources. Luxembourg offers state-of-the-art facilities and an excellent training environment for early-stage researchers, particularly in biomedical sciences.

We are seeking outstanding PhD candidates to perform world-leading, innovative research in the life sciences within Luxembourg. Host institutes include the University of Luxembourg [Luxembourg Centre for Systems Biomedicine (LCSB), Life Sciences Research Unit (LSRU), and Physics and Materials Science Research Unit (PHYMS-RU)], the Luxembourg Institute of Health (LIH), the Luxembourg National Health Laboratory (LNS), the Integrated BioBank of Luxembourg (IBBL), and the Luxembourg Institute of Science and Technology (LIST).

PhD candidates will conduct their research projects at either the LCSB, LSRU, PHYMS-RU, LIH, LNS, IBBL and/or LIST. A number of projects involve collaborations with the European Molecular Biology Laboratory – European Bioinformatics Institute (EMBL-EBI), the University of Kent (Kent Fungal Group) and the University of Strasbourg (UMR7156 UdS – CNRS) as well as a private biomedical laboratory in Luxembourg, Laboratoires réunis. All PhD candidates will be enrolled in the Doctoral School in Science and Engineering at the University of Luxembourg.

We are seeking excellent and highly motivated candidates holding a Master’s degree in a field related to the topic of the programme (MSc or equivalent). Fluency in English is mandatory – English is the working language.

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PhD Studentship in  Proteomics

The University of Southampton and Biological Sciences both hold an Athena Swan Silver Award, respectively, demonstrating their commitment to provide equal opportunities and to advance the representation of women in STEM/M subjects: science, technology, engineering, mathematics and medicine.

Allergies to small organic chemicals are a public health concern and can manifest themselves in a variety of clinical outcomes. For example, allergic contact dermatitis (ACD) is a T-cell mediated, delayed hypersensitivity that typically results in skin symptoms, which can be severe but not life-threatening. By contrast, chemical respiratory and drug allergies can be IgE-mediated and potentially fatal.

In collaboration with Unilever PLC, this research project capitalises on novel proteomic techniques recently developed at the UoS to characterise both the proteins modified and the MHC peptide antigens presented after sensitiser exposure. This programme of research presents an exciting opportunity to investigate and elucidate the differences in effector responses between skin and respiratory sensitisation at the molecular level.

The project is funded for 3 years and welcomes applicants from the UK and EU who have or expect to obtain at least an upper second class degree in Biological Sciences or allied subjects. Funding will cover fees and an enhanced stipend of £ 17,777 per annum for 2018/19.

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Posted on August 03, 2018

28 PhD positions within the Doctoral Programme

28 PhD positions within the Doctoral Programme, TALENT at the Faculty of Science, University of Copenhagen - co-funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 801199.

The 28 PhD fellowships are in the following fields: Biodiversity; biological sciences and bioinformatics; chemical sciences; computer sciences; earth and planetary systems sciences; envirionment, climate and sustainability; food sciences; health and genomics; mathematical sciences, statistics & economics; nano and materials sciences; natural science education; nutrition and sports; particle physics, astro physics and cosmology; plant sciences and biotechnology; quantum sciences and technology; ressource economics and global development.

Description of SCIENCE and the 12 departments and the PhD School:
Research at SCIENCE rests on two pillars: on the one hand strong basic research, and on the other application-oriented research, which contributes to growth and employment and solves societal problems, for example within climate change, sustainable energy supplies, biological production, environmental challenges, food and water safety, lifestyle diseases and IT security.

Must hold a relevant MSc degree at the time of applying. However, candidates, who do not hold an MSc degree, are also considered eligible if their credentials and CV equal those achieved on an MSc. This could be in the form of five years of full-time undergraduate and postgraduate education OR four years of full-time undergraduate education combined with relevant courses, fieldwork, scientific publications or conducted research.

The deadline for applications is 1 October 2018, 23:59 GMT +2.

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Two SNF-funded PhD positions in NK cell biology and hypoxia research

Organ fibrosis as well as tumor progression show pathological features that are reminiscent of a classical wound healing response. Tissue fibrosis that is characterized by excessive scarring and extracellular matrix deposition after tissue injury is nowadays considered as an aberrant and excessive wound healing response. Likewise, the tumor microenvironment is often referred to as the "never healing wound" and certain tumor types exhibit excessive extracellular matrix deposition and massive fibrosis.

Hypoxia-inducible transcription factors (HIFs) are central mediators of cellular adaptation to low oxygen (hypoxia). NK cells are key for immune surveillance in cancer and pre-cancerous types of organ fibrosis, due to unique cytotoxic properties. Our recent results indicate that HIF-deficiency imroves NK cell immune surveillance. We, therefore, hypothesize first, that HIF signaling is critical for NK cell performance, and second, that manipulating the HIF pathway in NK cells is a novel therapeutic target in cancer and organ fibrosis.

Upon start, applicants must have a completed master’s degree in biology, medicine or any related science field, preferably with a certain degree of specialization in immunology or tumor biology/fibrosis research. In addition to standard methods, applicants must be willing to familiarize with sophisticated immunologic assays, mass cytometry as well as animal models of cancer and organ fibrosis. Candidates should be capable to adopt methods from other science fields (e.g. bioinformatic approaches). A high degree of flexibility and dedication to the project will be mandatory.

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Posted on August 01, 2018

 PhD scholarship in Bioinformatics, Genomics and Life Science:


Update  on  June 13, 2018

PhD Studentship - Metabolic reprogramming in human

PhD project title: Metabolic reprogramming in human ES/iPS cell models of neurodegenerative disease Supervisors: Lia Panman (MRC Toxicology Unit, University of Cambridge) Muireann Coen (AstraZeneca) Will Redfern (AstraZeneca) Project description The Medical Research Council Toxicology Unit, is an internationally renowned institution focussed on the delivery of field-changing mechanistic insights into toxicology and disease. The Unit is part of the University of Cambridge; it is currently located in Leicester and will be relocating to Cambridge in early 2020.

Students will be registered with the University of Cambridge for the duration of the studentship. Successful applicants will enjoy membership of a University of Cambridge College from commencement of their PhD in October 2018, but will initially have only limited access to College facilities due to the location of the Unit. The studentship if funded by the MRC Integrative-Toxicology Training Partnership (ITTP) and the training includes courses covering aspects of toxicology and molecular sciences. A part of the project will be carried out at AstraZeneca (Cambridge) and Imperial College (London) in collaboration with Muireann Coen and Will Redfern.

Candidates must expect to obtain qualifications at the level of a first-class or 2.1 Honours Degree in a biological science or related discipline and to fully satisfy the residence requirements of the UK Research Councils. A fees-only award will be available to EU nationals who are not ordinarily resident in the UK. Students who are liable for fees at the 'overseas' rate are not eligible for these studentships.

This advert will remain open until 30th June 2018 or until a suitable candidate is found.

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PhD student position - Analyses of Chromatin Conformation Dynamics

The Regulatory Genomics Laboratory at the Max Planck Institute for Molecular Biomedicine in Muenster, Germany offers a PhD student position in Genomic Analyses of Chromatin Conformation Dynamics. The laboratory seeks to appoint a highly motivated scientist to work on dissecting the molecular mechanisms that regulate chromatin conformation in eukaryotes, which is a strong focus of the group.

We are looking for an enthusiastic and talented graduate (MSc or BSc) in biology, bioinformatics, or related fields, and with a strong drive to excel in a highly international and collaborative environment. Previous experience in genome-wide data analysis or programming skills (R, Python) will be advantageous, but not required prior to joining the laboratory. Please detail your interest or your previous experience in dealing with genomics data in the cover letter.

The position is offered initially as a fixed-term appointment for one year with the possibility of further extension following a successful evaluation. The position is available immediately. PhD students will receive a compensation according to pay level 13 (50 %) of the contracts for the civil service (TVöD, Tarifvertrag für den öffentlichen Dienst).

Applications received before 30 June 2018 will be considered first.

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Posted on June, 2018

PhD student in "Computational population epigenomics"

The Institute of Computational Biology (Helmholtz Zentrum München) together with the Plant Science Department (Technical University of Munich, School of Life Sciences) is looking for a PhD student in "Computational population epigenomics“

The past decade has seen unprecedented advances in epigenomic measurement technologies. It is now possible to characterize epigenomes at high resolution and at reasonable cost. Efforts are underway in various species, including plants and humans, to measure the epigenomes of a large number of individuals with the goal of identifying functionally-relevant differences. A major bottleneck in these endeavors continues to be the need for efficient computational and bioinformatic methods that can aid in the genome-wide detection of patterns of epigenomic variation. The goal of the PhD is to develop and build on robust data analysis methods, and to device new metrics for the quantification of population epigenomic data.

Your Qualifications:

  • Appropriate studies (Masters/Diploma) in physics, mathematics, bioinformatics, computer science or related disciplines
  • Strong programming skills
  • Strong interest or ambition to learn about epigenetics and molecular biology
  • Good knowledge of statistics

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Two PhD positions at the Department of Clinical Science

At the University of Bergen, Faculty of Medicine and Dentistry, Department of Clinical Science, two full-time temporary PhD-positions are available for a period of three (3) years.     The positions are part of the project “Dissecting causal mechanisms of non-coding variants in metabolic disease”, funded by the Norwegian Research Council.

The main objectives for the position are to experimentally manipulate candidate genetic variants, master regulators and target genes in human cells and animal models, and test effects of this manipulation on relevant cellular and organismal functions, and further link these effects to clinical data from patient cohort/prospective intervention studies. The work will be performed in a research environment with other doctoral and master students and researchers working on similar projects.

Qualifications and qualities

  • The successful applicant must hold a cand. med. or equivalent master’s degree, and should have experience from relevant research projects
  • Personal skills will be emphasized, including academic quality, research experience and ability to cooperate and work in a team. The candidate should be able to work independently, and have a strong commitment and enthusiasm for research and for learning/establishing new experimental/analytical techniques
  • The successful applicant must be fluent in oral and written English
  • The applicant must have a theoretical background in molecular and cell biology, genetics, metabolism and physiology, and should have prior knowledge of adipocyte biology

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Posted on June, 2018

Ph.D. Student in Computational Biology and Machine Learning

KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as in architecture, industrial management, urban planning, history and philosophy.

The project is concerned with Machine Learning and probabilistic modeling applied to single cell expression analysis. Methodologically, this project will be focused on advanced methods for computational inference such as Expectation Maximization, Dynamic Bayesian Models, and Deep Convolutional Neural Networks, as well as implementation of such methods on modern high performance computers and clusters. We expect to collaborate with groups developing new experimental methods, particularly single-cell methods, at SciLifeLab as well as with international collaborators.

Qualifications:
A suitable background for this position would be a master’s degree of Science in Computer Science, Statistics or any other discipline with large component of quantitative science. Programming skills and language skills are required. Knowledge of biology and computational biology are regarded as advantageous qualifications.

Last application date     15.May.2017

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PhD scholarship in Development of multiplex single molecule counting techniques

Applications are invited from suitably qualified candidates for a position funded by the Marie Sklodowska-Curie Innovative Training Network (MSCA-ITN) project “BBDiag” within the Horizon 2020 programme of the European Union. The appointment will be on a temporary basis for a maximum period of 3 years (PhD student) with start June or July 2017. The student will be employed as a PhD student at the Dept. Micro and Nanotechnology, Technical University of Denmark (DTU Nanotech.

Responsibilities and tasks
The PhD student will be a member of this multi-disciplinary team and will be responsible for the development of single molecule sensing techniques including

  • Micro-fabrication of clean room substrates for sample partitioning
  • Sandwich immunoassays
  • Multiplexing of assays
  • Testing clinical samples
  • Methods for statistical analysis

Qualifications
Candidates should have a master's degree in engineering (or a similar degree) with a background in nano-bio-technology, nanotechnology or molecular biology.

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Posted on March 22, 2017

PhD studentships in Biological Sciences

ESR (Early Stage Researcher) position for 36 months at Medical Research Council Cancer Unit, University of Cambridge, Cambridge, UK

The Frezza laboratory focuses on understanding the role of the mitochondrial enzyme and component of the tricarboxylic acid (TCA) cycle Fumarate Hydratase in tumorigenesis. We have recently demonstrated that fumarate, accumulated in FH-deficient cells, elicits a powerful epigenetic reprogramming that leads to the suppression of miRNA200, and induction of epithelial¿to-mesenchymal transition (Sciacovelli et al, Nature 2016). This epigenetic and phenotypic switch makes FH-deficient cells more motile and invasive, predisposing to metastasis. Although we demonstrated that fumarate has a role as epigenetic modifier, its effects on chromatin structure and function are still unknown. This project will help to elucidate the link between TCA cycle dysfunction, accumulation of fumarate, and downstream epigenetic changes involved in tumorigenesis. To this aim the ESR will investigate the hypothesis that fumarate controls the activity of histone and DNA demethylases involved in DNA and histone methylation, causing broad epigenetic changes. The ESR will first generate a 3D cellular model of FH-deficiency by deleting FH in human renal cell lines obtained using CRISPR technology.

PhD program starting date: 01/10/2017

Required Educational Level  Degree: Applicants should hold a Masters level Degree in Biological Sciences in the field of Biochemistry, Cell Biology, Cancer Biology.

The closing date for applications is 30th April 17. The date of interviews is TBC.

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PhD position (Doctoral Researcher)  in Systems Biology

The Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute – (HKI, www.leibniz-hki.de) investigates the pathobiology of human-pathogenic fungi and identifies targets for the development of novel natural product-based antibiotics. The Research Group Systems Biology and Bioinformatics invites talented and highly gifted candidates to apply for a doctoral researcher.

The project is part of an international collaboration with Queen Mary Hospital, the flagship teaching hospital of The University of Hong Kong (Hong Kong). Our group has previously developed in house pipelines for the independent analysis of metagenomic, metatranscriptomic and meta-metabolomic data. In the framework of this project these pipelines will be further revised and upgraded to accommodate combined analysis for a large number of multi-meta-omic samples. Furthermore, we plan to integrate in novel ways these meta-omic datasets for modelling the association of microbial communities and C. albicans.

Your profile: A strong interest in conducting collaborative research on the topic outlined above is paramount. Candidates are expected to be interested in working at the boundaries of several research domains.

  • Master´s degree in Systems Biology, Computational Biology, Bioinformatics, Biophysics or a related discipline.
  • Knowledge in statistical methods in the context of biological systems.
  • Experience with programming (Python, Perl, C++, R).

Complete applications in English should include CV, certificates, transcripts, a brief statement of research experiences and interests and the addresses of two possible referees, and should be submitted by April 21, 2017 via the online application system of the HKI.

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Posted on March 10, 2017

PhD studentship in Biomedicine

Project: Investigation into the impact and effect of systemic iron deficiency, and iron repletion, on skeletal muscle function

 The work will involve the mechanistic role of iron and its function in tissues. Iron has two important functions: assisting in the manufacture of blood cells to transport oxygen, as well as providing key ingredients in the cellular ‘power house’ (mitochondria) that uses oxygen to generate energy for muscles. New intravenous (IV) iron treatments are available, enabling full treatment in a single infusion. IV iron is known to be efficacious for correcting iron deficiency with or without anaemia, but we do not know if overall fitness and skeletal muscle function is improved. Furthermore, we do not know the mechanism of how ID, anaemia or treatments thereof may impact iron repletion on tissues.

Person Specification

•A good (First or Upper Second Class Bachelor’s) degree in a biomedical or pharmacological subjects (or equivalent EU/overseas degree), and ideally an MSc in a related area.

•An interest in iron deficiency, anaemia and mitochondrial biochemistry, and a desire to learn more.

•Strong analytical/statistical skills.

•Enthusiastic, organised with good communication skills - especially in written English.

•A strong work ethic, with the ability to think creatively and work independently.

•Develop pre-clinical models of iron deficiency and anaemia under the direction of Professor Toby Richards and Dr Anna Butcher.

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E-cigaratte use in pregnancy and diabetes PhD scholarship

One in four Australian adults has either type 2 diabetes or impaired glucose tolerance. Cigarette smoking increases the risk of diabetes. E-cigarettes are seen as the new safe alternative to tobacco cigarettes, but our preliminary studies would suggest otherwise. This PhD project (in collaboration with A/Prof Brian Oliver) will evaluate the risks posed by maternal vaping upon the development of diabetes in model systems. The results will inform the community of the risks that e-cigarette use has, and ultimately reduce the morbidity and mortality of diabetes.

Essential qualifications 
H1 Honours or equivalent (H2 Honours with 1 year post qualification research experience / Research Masters).

How to apply
Open only to Australian Residents or Citizens for commencement anytime between March - August 2017.  Applicants are encouraged to phone Dr Hui Chen on 9514 1328 prior to applying. Send your CV and a half page expression of interest to: Dr Hui Chen.

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Posted on March 07, 2017

Epigenetics of chlamydial infection PhD scholarship

Chlamydial infections and their associated diseases are often asymptomatic and severe disease outcomes can take years to manifest. This project will apply bioinformatic analysis of high-throughput sequencing data to gain insights into fundamental chlamydial biology and disease pathogenesis by epigenetic dysregulation of the human genome. Epigenetically dysregulated genes may facilitate chlamydial pathogenesis and disease progression, either by direct chlamydial interference or by innate responses, and may be candidate biomarkers of infection or disease.
Desirable skills and qualifications
  • Expertise in programming (R, Python or similar), data visualisation and/or computational biology;
  • Open to international and domestic students for commencement in 2017.

How to apply

Send your CV and a half page expression of interest to: Associate Professor Garry Myers.
Applicants for the scholarship must also apply to be admitted to the PhD degree at UTS.
Applications close: 15 March 2017

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PhD Position  Biomedical Image Analysis 

Location: Biomedical Comput er Vision Group  University of Heidelberg, BioQuant Center, IPMB, and DKFZ

The research group Biomedical Computer Vision (BMCV) at the University of Heidelberg and  the DKFZ currently offers a PhD position in the field of Biomedical Image Analysis. The task  is the development of innovative methods for  automated analysis of 3D microscopy images.  Focus  is  on  the  segmentation  and  quantification  of  cells  and  subcellular  structures  in  3D   volume images with the aim is to improv e medical diagnosis and therapy. The work is funded  by  the  Federal  Ministry  of  Education  and  Research  (BMBF)  and  carried  out  in  close   cooperation  with  biomedical  partners  at  Heidelberg  University  Hospital  and  the  DKFZ   Heidelberg.

Candidates   must   have   a   Master’s   (Diploma)   degree   in   Computer   Science,   Electrical    Engineering,    Medical    Informatics,    Biomedica l    Engineering,    Bioinformatics,    Applied     Mathematics,  Physics,  or  a  related  discipli ne.  We  expect  experience  in  Image  Analysis  as   well as good mathematical and programming skills. Candidates should be highly motivated,  team-minded, and interested in interdisciplinary research.

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Posted on March 06, 2017

CRUK 4 Year PhD Studentships 2017

Studentships are fully funded for 4 years commencing October 2017. Cancer Research UK sponsorship includes generous stipend, tuition and bench fees. Students trained within our research groups will matriculate from the University of Manchester.

Tumour Suppressor Group - p53 Mutations in Small Cell Lung Cancer     
Applications Close Monday 10 April 2017 (2400 hrs GMT)     Interviews: Friday 21 April 2017

Applications are invited from exceptionally high calibre students – recent graduates or final year undergraduates who have, or are expected to obtain a first or upper second class honours degree and who are highly committed to pursuing a PhD in cancer research.  The importance of p53 mutations in human cancer is clear with over 50% frequency across all cancers but reaching more than 90% in small cell lung cancer.  This research is looking into the p53 mutations and patient response to chemotherapy in small cell lung cancer.  Informal enquiries should be addressed to Dr Patricia Muller - pgt@cruk.manchester.ac.uk

RNA and Computational Biology Group - Applying High Performance Computing to the Cancer Genome   
Applications Close Thursday 13 April 2017 (2400 hrs GMT)     Interviews: Friday 28 April 2017

Applications are invited from exceptionally high calibre students – recent graduates or final year undergraduates who have, or are expected to obtain a first or upper second class honours degree and who are highly committed to pursuing a PhD in cancer research.  While a background in biology is useful, the project is computational in nature and excellent scientists from a computational background who are keen to develop a better understanding of cancer are encouraged to apply.  Informal enquiries should be addressed to Dr Crispin Miller - crispin.miller@cruk.manchester.ac.uk

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20 ICFO International PhD Fellowship positions

ICFO is offering up to 20 PhD positions to well-qualified graduate students, who wish to obtain a doctoral degree in any of the research fields covered at ICFO. Research is carried out at ICFO.

Our PhD-program brings together top-level training and teaching for young scientists, benefiting from the extensive course offerings of local universities and focused instruction by ICFO professors, in a stimulating, international and interdisciplinary environment. PhD-students have the opportunity to take advantage of our network of excellence, consisting in partners of national and international research institutes and universities, as well as industrial partners in the field.

Our International PhD Fellowship Program welcomes applications from individuals with a degree in a field of science and engineering related to the ICFO research activities.  Fellowships will be offered across all ICFO research groups in the following research areas:

  • Biophysics & Biomedical Optics
  • Optical Sensing, Optoelectronics & Photovoltaics
  • Nonlinear Optics, Ultrafast Optics & Atto-Physics
  • Nanophotonics, Optomechanics & Nanomechanics
  • Experimental Quantum Optics & Quantum Information
  • Theoretical Nanophotonics, Quantum Optics & Quantum Information

application deadline: 26th of March, 2017

For detail click here