PhD scholarship

 PhD scholarship in Bioinformatics, Genomics and Life Science:


Update  on  August 19, 2019

7 PhD candidate positions in the life sciences

We are looking for 7 PhD students and 3 Postdoctoral researchers to complete the teams of our newly funded DFG-Research Unit Beyond the exome, which aims to identify, analyze, and predict the disease potential of non-coding DNA variants in patients with rare genetic diseases.

Our research is centred around the question, of how non-coding regulatory mutations and structural variants in the human genome cause disease. For that we have put together a team of 12 Principal Investigators from such diverse fields as Clinical Medicine, Genetics, Biophysics, Cell and Molecular Biology, Bioinformatics, and Machine Learning. Our research is shared between three different Institutions at Berlin that are the Charite University Hospital, the Humboldt University, and the Max Delbrueck Center (MDC) for Molecular Medicine.

Applicants should have a Master's degree in the life sciences and should be willing to work in a highly interdisciplinary Research environment and be able to communicate ideas across classic subject boundaries.

For details click here


Two PhD students | Allergy vaccine design to induce immune tolerance

This collaborative project is led by two departments at the Amsterdam UMC, the department of Molecular Cell Biology and Immunology, location VUmc, and the department of Experimental Immunology, location AMC, joining forces on designing novel allergy vaccines. Prof. dr. van Kooyk, location VUmc, studies the design of new vaccines that target innate immune cells (dendritic cells) for the treatment of cancer and allergy. Prof. dr. E.C. de Jong and Prof. dr. R. van Ree, location AMC, focus on modulation of immune responses in translational allergy in the field of peanut and house dust mite allergy.

We are looking for two highly motivated and enthusiastic researchers. For this position its important that you have a creative and flexible attitute and you are avialible to work flexible hours when the circumstances in the project require. You will be part of a young, multidisciplinary team, with ample experience, and an excellent position within the expert field. Are you a teamplayer with excellent communication skills and do you also have the capacity to work indepenently?

In addition we are looking for two PhD student who have:

  • a Master’s degree in a field related to Biomedical sciences, (medical) biology, biochemistry
  • significant experience with immunological and cell biological techniques;
  • interest in pushing the boundaries of research through technology-driven applications;
  • excellent communications skills in English, both written and verbal.

For details click here


Posted on August 16, 2019

25 PhD positions within the Doctoral Programme

25 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.

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.

The TALENT programme offers 74 PhD fellowships (in total) of 36 months each, attractive employment conditions at one of the 11 departments at SCIENCE and enrolment as a PhD student at the PhD School at SCIENCE. TALENT is a unique programme by requesting, as part of the application procedure, the applicants to devise their own interdisciplinary PhD project within one of the above-mentioned 16 programme areas/panels and to indicate the department, which they find most suitable to host their project, and the names of the main supervisor and co-supervisors. In other words,

The deadline for applications is 1 October 2019, 23:59 GMT +2.

For details click here


PhD Student in Tumor Immune Evasion

The Cytoskeleton & Cancer Progression team within the Department of Oncology of LIH, is seeking a dedicated PhD Student.

Recently, we demonstrated in vitro that a subpopulation of cancer cells responds to cytotoxic lymphocyte attack with a quick and massive accumulation of actin in the region of the immunological synapse, a process we called the "actin response". Inhibition of the actin response was sufficient to convert resistant cancer cells into a highly susceptible phenotype. From a mechanistic standpoint, we found that the actin response protects target cells from apoptosis by decreasing intracellular levels of a key cytotoxic protease, namely granzyme B, secreted by cytotoxic lymphocytes.

The project aims at characterizing the mechanism by which the actin response prevents granzyme B accumulation in target tumor cells and subsequent cell lysis, and at validating the link between the actin response and a fundamental cellular process we identified in preliminary analyses. The project is largely based on cell imaging (confocal microscopy and imaging flow cytometry) and involves both in vitro cell culture (lymphocytes, cancer cells) and in vivo mouse models.

Ideally the candidate will have :

  • A Master degree in the area of Immuno-oncology.
  • Fluency in English is mandatory.
  • Hands-on experience in experimental lab work using immune and/or cancer cell models.
  • Experience in (imaging) flow cytometry and/or cell imaging approaches.
  • Experience in animal experimentation.
  • Excellent planning and communication skills.

For details click here


Posted on August 14, 2019

PhD position in genetics and bioinformatics

We are offering a 3-year PhD position in the Department of Genetics and Bioinformatics (HDGB) at the Norwegian Institute of Public Health (NIPH) in Oslo, Norway. The position is funded by the Research Council of Norway and is also affiliated with the Centre for Fertility and Health (CeFH), a Norwegian Centre of Excellence at NIPH. The PhD candidate will be part of an interdisciplinary and international research team consisting of, among others, geneticists, statisticians, bioinformaticians, epidemiologists, physicians, and demographers. We are interested in a candidate with an excellent background in statistical and computational analyses, preferably with a master's degree in statistics, bioinformatics or equivalent.

The PhD project is based on analyses of DNA from the Norwegian Mother, Father and Child Cohort Study (MoBa). The aim is to study how maternal active and passive smoking in pregnancy and genetic variants in mitochondrial DNA (mtDNA) affect telomere length in the newborn through oxidative stress. To test hypotheses, sequenced mtDNA and telomere length data from a subset of children in MoBa will be analyzed together with information on maternal active and passive smoking in pregnancy.

Qualifications:

  • Master's degree in statistics, bioinformatics or equivalent
  • Fulfill the requirements for admission to the PhD program at the University of Oslo
  • Experience with relevant programming tools for statistics, such as R, Python and/or STATA
  • Experience with data analysis from nationwide, consent-based health surveys is an advantage
  • Strong knowledge of epidemiological concepts and datasets
  • Strong knowledge of quantitative analysis and experience with causal models
  • Strong command of written and spoken English. Knowledge of Norwegian is relevant but not required.

For details click here


PhD position: Computational biology or bioinformatics

The department Computational Biology for Individualised Medicine (BIIM) of Prof. Dr. Yang Li from the Centre for Individualised Infection Medicine (CiiM) in Hannover, Germany is offering a PhD position: Computational biology or bioinformatics. The goal of our project is the development of algorithms and computer-aided methods to analyze multi-omics datasets (including single cell RNA sequencing data) from patients, to identify crucial molecules in determining disease phenotypes, which can be used as therapeutic targets for personalize medicine in infection research. The methods that we employ or develop in our research are related to the fields of machine learning and systems genetics.

Prerequisite

  • Master’s Degree/Diploma in bioinformatics/biology/statistics/computer science/physics, or a comparable discipline; Experience with advanced statistics is a plus
  • Excellent English communication skills (written and spoken)
  • Ability to work independently and as part of an international team
  • Skills in computer programming (e.g. R, JAVA, Python), experience with different operating systems (Linux, Windows)

Applications accepted until 2019-08-25

Code: 68/2019

For details click here


Posted on August 12, 2019

Doctoral (PhD) student position in RNA biology and genomics

A doctoral student is admitted to third-cycle/doctoral education. A doctoral education consists of supervised research, combined with courses and other educational activities. An individual study plan is established for each doctoral student. For a doctoral degree, the equivalent of four years of full-time doctoral education is required.

Research group The research group of Dr Claudia Kutter seeks applications for a Doctoral (PhD) student position in the field of RNA and/or chromatin biology as well as functional and/or comparative genomics. The Kutter lab has a track record in deciphering molecular mechanism by which noncoding RNAs (i.e. long noncoding, transfer and small RNA) regulate genes and genome structure in mammalian somatic tissue and in the germline (Ernst et al, NatComm, 2017; Rudolph et al, PLoS Genetics, 2016; Schmitt et al, Genome Research, 2014; Kutter et al, PLoS Genetics, 2012; Kutter et al, Nature Genetics 2011). The research program for this position focuses on gene regulation during cell differentiation and disease progression in mouse and human.

The successful applicant will acquire basic and specialized knowledge and understanding in chromatin, gene regulation, RNA biology, organ development and cancer biology. The work implies to apply, master and develop innovative research methodologies in genomics, transcriptomics and proteomics, next generation sequencing and bioinformatics, statistics, molecular biology and biochemistry, in which the group is specialized in. The post holder is expected to take a strong lead in the project design and management as well as data generation, analyses and interpretation under consideration of ethical standards and scientific research conduct, and collaborate with other team members.

Reference number 2-4104/2019

Last application date 09.Sep.2019

For details click here


PhD Student in Biology

As a modern maximum-care hospital with a capacity of approximately 1,540 beds, the University Hospital of Cologne is dedicated to the practice of innovative academic medical excellence. At the Faculty of Medicine 1.800 scientists are engaged in research, ranging from basic sciences to clinical application, as well as teaching and health care. Together with the University Hospital Cologne the faculty maintains 58 clinics, research institutes and centres. 3.400 students study in this dynamic and innovative environment. The Faculty of Medicine and the University Hospital Cologne are embedded in the scientifically highly active Rhine region. They have strong contacts to and alliances with the surrounding universities and non-university research institutions guaranteeing scientific excellence in research and teaching.

The Center for Molecular Medicine Cologne (CMMC) is a multidisciplinary center at the University of Cologne providing a forum that brings together physician scientists with basic researchers from the Faculty of Medicine and the Faculty of Mathematics and Natural Sciences to perform competitive basic, disease-oriented research. The mission of the CMMC is to advance the understanding of the underlying molecular and cellular mechanisms as a prelude to improving prevention, diagnosis and treatment of many common health problems.

Minimum qualifications:

  • M.Sc. or equivalent degree in biochemistry, biophysics or a related field, completed with above-average grades
  • Experience and publication record in biochemistry
  • Thorough conceptual understanding of signalling pathways
  • Enthusiasm for protein structure, modifications and function as the basis of life processes
  • High level of motivation, endurance and positivity
  • Ability and willingness to work in a collaborative team
  • Excellent communication in English (written and speech)

We prefer online applications, but you also have the opportunity to apply via regular mail quoting the reference number V000001379 to

For details click here


Posted on August 09, 2019

Doctoral (PhD) student position in gene regulation of malaria parasites

A doctoral student is admitted to third-cycle/doctoral education. A doctoral education consists of supervised research, combined with courses and other educational activities. An individual study plan is established for each doctoral student. For a doctoral degree, the equivalent of four years of full-time doctoral education is required.

The Wahlgren lab focus on understanding the molecular pathogenesis of Plasmodium falciparum infection and has been actively working towards the development of next generation drug and vaccine to avert the most severe consequences of malaria infection. The group is comprised of an international team of scientists. Furthermore, the group has strong national and international collaborations, and past doctoral students were encouraged and had participated in short research visit to collaborators’ lab, the student can experience working in a different environment and establish a strong research network.

We are looking for an independent and highly motivated candidate with a degree in Medicine, Biomedicine, Molecular biology, Genetics, Biochemistry or similar. Proven experience in eukaryotic biology, gene regulation, transcriptomics, proteomics, tissue culture and the CRISPR/Cas system are desirable. An ideal candidate should have a track record of academic excellence with a strong experimental background in molecular biology. The candidate should be collaborative, scientifically adventurous, curiosity-driven as well as being able to think critically. The candidate is also expected to be meticulous, honest, perceptive and responsive. Prior experiences in a diverse and broad range of molecular techniques, bioinformatics will be added advantages.

Reference number 2-3834/2019

Last application date 15.Aug.2019

For details click here


PhD Scholarship - Venom peptide discovery and neuropeptide research

The University of Queensland’s Institute for Molecular Bioscience, located on the main University campus, is Australia’s leading biosciences research institute. Established in 2000, the Institute is home to over 420 staff and is located in thriving Brisbane, a city consistently ranked as one of the world’s most vibrant and liveable cities.

Our main research efforts situated in this area of Chemical Biology focus on the exploration and translation of these vast and untapped natural libraries towards the development of useful research tools and therapeutics. Solid phase peptide synthesis, the main tool to access these compounds, is a powerful technology for the assembly and chemical modification of these highly chiral and structurally complex peptides. We then use these ligands to develop advanced molecular probes and therapeutic leads to address important questions of unmet medical need.

The successful applicant will develop the following skills during this PhD project:

  • solid phase peptide synthesis
  • organic and medicinal chemistry
  • mass spectrometry, peptide and protein purification techniques
  • nuclear magnetic resonance spectroscopy, circular dichroism
  • recombinant protein expression, cell culture and pharmacological assays
  • various bioassays, proteomics and transcriptomics, peptide drug development
  • bioinformatics

Job No:508190

Applications close: 08 Sep 2019

For details click here


Posted on August 07, 2019

PhD Position in Statistical Phylogenetics

LMU Munich is an equal opportunity employer. We strongly encourage applications from female candidates. LMU Munich intends to enhance the diversity of its employees. Furthermore, disabled candidates with essentially equal qualifications will be given preference.  My group is broadly working on theory and computational methods for Bayesian inference of phylogeny (https://hoehnalab.github.io). The research directions include phylogeny inference, divergence time estimation, diversification rate estimation and model testing. All of our methods are implemented in the open-source program RevBayes (http://www.RevBayes.com) which is the successor software of the popular program MrBayes. The successful applicant will be part of our vibrant RevBayes group and will contribute to further development of the program.

The main research topic for the PhD project is to model speciesdiversification. Species diversity varies significantly over the tree of life (i.e., among different groups)and has changed drastically over time. Diversification rates can change through external factors (e.g., environmental changes)affecting all species within the study groupand through internal factors (e.g., new adaptive traits)affecting only specific lineages.The key questionof the dissertation willbe to identify what has driven these changes in species diversificationrates. The focusof the thesis will be to develop statistical models and perform statistical inference using simulated and empiricaldata.

Applicants should have a Master’s degree, completed or completion imminent, inevolutionary biology, biostatistics, bioinformatics, or a related field. The key skills required are proficiency in R/Matlabscriptingandgood communication skills (oral and written English). Basic knowledge in phylogenetics and statistical inference (especially Bayesian statistics) is beneficial but not required. Training in these skills will be provided depending on need.

For details click here


PhD Scholarship - Physiology of Circadian Rhythms

IMB is a global leader in multidisciplinary life sciences research, bringing together 500 researchers from across the globe for disease discovery, application and sustainable futures. Formed in 2000 as an initiative of The University of Queensland, State and Federal Governments and private philanthropy, IMB is one of the largest life sciences institutes in the Asia-Pacific region. It has capitalised on one of the greatest periods of discovery in history – the genetic and molecular basis of life and its diversity.

Our research has shown that in mice the liver can be up to 30% larger during the night when these animals are active, than during the day. However, this phenomenon occurs only when feeding rhythm is synchronized with the active phase. This observation suggests that a signal occurring during the day opposes the effect of feeding. Nevertheless, the factors contributing to daily liver size fluctuation are still poorly understood. The goal of this project is the characterization of the molecular mechanisms involved in the regulation of rhythmic liver size, in particular through the regulation of protein secretion, and its impact on animal metabolism.

Applicants should have the following:

  • Master degree in biological science
  • Experience in animal and cell biology
  • Knowledge in biochemistry and molecular biology

Applications close: 31 Aug 2019 (12:00 PM) E. Australia Standard Time

For details click here


Posted on August 05, 2019

PhD position: Computational biology or bioinformatics

The department Computational Biology for Individualised Medicine (BIIM) of Prof. Dr. Yang Li from the Centre for Individualised Infection Medicine (CiiM) in Hannover, Germany is offering a PhD position: Computational biology or bioinformatics.

The goal of our project is the development of algorithms and computer-aided methods to analyze multi-omics datasets (including single cell RNA sequencing data) from patients, to identify crucial molecules in determining disease phenotypes, which can be used as therapeutic targets for personalize medicine in infection research. The methods that we employ or develop in our research are related to the fields of machine learning and systems genetics.

Prerequisite

  • Master’s Degree/Diploma in bioinformatics/biology/statistics/computer science/physics, or a comparable discipline; Experience with advanced statistics is a plus
  • Excellent English communication skills (written and spoken)
  • Ability to work independently and as part of an international team
  • Skills in computer programming (e.g. R, JAVA, Python), experience with different operating systems (Linux, Windows)
  • Excellent communication and reporting skills
  • Equal Opportunities are part of our personnel policy. Qualified applicants with a disability will be given preference.

Applications accepted until 2019-08-11

For details click here


Doctoral researcher: RNA structure and function in virus replication

The “Genome Architecture and Evolution of RNA Viruses” (GARV) research group of Dr. Redmond Smyth at the Helmholtz Institute for RNA-based infection research (HIRI) in Würzburg (Germany) is seeking a doctoral researcher (f/m/d).  The genomes of RNA viruses are compact, complex and multifunctional. They encode for viral proteins used to hijack the host cell, as well as non-coding RNA elements that actively participate in the replication cycle. Although these non-coding RNA elements are critical for viral replication, their identity, structure and biochemical function remain underexplored.

The project will focus on understanding the mechanistic details and function of RNA structure in cells and viruses. The doctoral researcher will be involved in the development of new methodologies to study the folding of RNA genomes in three-dimensions, and to decipher how RNA structure interacts with proteins and other nucleic acids to achieve biological outcomes. The doctoral researcher should be comfortable working with human pathogens, including HIV and influenza.

Prerequisite

  • Master’s Degree in biochemistry, molecular biology, molecular virology or a related field within the life sciences.
  • Excellent English communication skills (written and spoken).
  • Ability to work independently and as part of an international team.
  • A strong desire to do research, enthusiastic, creative, and highly self-motivated.
  • Knowledge of Matlab/Python or R is an advantage, but not essential.

Please refer to the job number 76/2019.

Applications accepted until 2019-09-01

For details click here


Posted on August 02, 2019

PhD student position in integrative cancer research

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 44.000 students, 7.100 employees and a turnover of SEK 7 billion.

A 4-year PhD student position is now available for highly motivated individuals with interest in integrative can­cer re­search, in the laboratory of Dr Sven Nelander (nelanderlab.org). The goal of the project is to develop a new therapeu­tic strategy against the brain cancer glioblastoma, based on direct in vivo reprogramming of the tumor cells. Working in a team of both theoretical and experimental researchers, you will use two new and powerful experi­mental methods to analyze drug effects in patient-derived brain tumor cells.

Qualifications: The applicant should have MSc degree in a relevant area. For this particular position, we strongly encourage candi­dates with well documented experimental experience in one or several of the area(s) of cancer biology, stem cell biology, RNA se­quencing, phar­macology and genomics. To maximize medical relevance, projects in our lab involve in vivo experi­ments, and such experi­ence is of interest. We also strongly encourage candidates with a technological interest, and a willingness to engage in ana­lytical work with bioinformatics experts, and appreciate if you clarify your level of statis­tics/computer training, or other experience in cross-disciplinary work. We encourage candidate with a record of originality and creativity. Excel­lent skills in oral and written English are required.

You are welcome to submit your application no later than 30 August 2019, UFV-PA 2019/2685.

For details click here


PhD Position - Biology - Single cell genomics of tissue regeneration

The Centre for Genomic Regulation (CRG) is an international biomedical research institute of excellence, based in Barcelona, Spain, with more than 400 scientists from 44 countries. The CRG shares principles of an interdisciplinary, motivated and creative scientific team that is supported by high-end and innovative technologies and a flexible and efficient administration. In November 2013, the Centre for Genomic Regulation (CRG) received the 'HR Excellence in Research' logo from the European Commission. This is a recognition of the Institute's commitment to developing an HR Strategy for Researchers, designed to bring the practices and procedures in line with the principles of the European Charter for Researchers and the Code of Conduct for the Recruitment of Researchers (Charter and Code).

The newly established Single Cell Genomics of Tissue Regeneration lab at CRG Barcelona is looking for a PhD student (biology), who will enrol in the very active CRG International PhD program, which includes science and practical courses, a wide range of complementary skills training, access to many courses, mentoring via a thesis committee, and active participation in the organization of seminars, symposia and retreats.

Deadline: September 15th, 2019

For details click here


Posted on July 31, 2019

PhD scholarship in computational bioinformatics to the Lundbeck Foundation GeoGenetics Centre

The Lundbeck Foundation GeoGenetics Centre, Faculty of Health and Medical Sciences at University of Copenhagen is offering a PhD scholarship for 3 years commencing September 2019 or as soon as possible hereafter.

The fully funded position will be carried out at the Lundbeck Foundation GeoGenetics Centre, a world-leading institution in ancient DNA studies. The candidate will have an opportunity to collaborate with leaders in the fields of paleogenomics, population genetics, quantitative genetics and palaeoanthropology, like Eske Willerslev, Rasmus Nielsen, Martin Sikora, Morten Allentoft. The candidate will have the opportunity to take courses in bioinformatics, computer science, statistical inference, machine learning, data science, population genetics, paleogenomics, paleoproteomics, and archaeological science, among many others.

Applicants should hold an MSc related to human genomic or pathogens degree 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 11 August 2019, 23:59 p.m. CET.

For details click here


Two PhD positions in Virology/Microbiology/Phage Biology

At our institute you will find a scientifically stimulating international environment. Together with renowned scientists and supported by an excellent infrastructure you make an important contribution of the improvement of people’s quality of life. The research focus in our lab is on the interaction of bacteria and viruses (phages). As pioneers in the development of “metaviromics” which involves isolating and sequencing the RNA/DNA from all of the viruses in sample directly, we query 'wild' viral populations to identify important hypotheses that can be evaluated using model-system approaches (Deng et al, Nature, 2014). We also employ sing-cell assays to investigate questions that are critical for modeling and predicting the impacts of phage-host interactions. We are seeking two highly motivated PhD students for the newly funded ERC project to develop phage therapy, which utilizes phages or phage-derived inhibitors as natural ways to fight antibiotic resistance.

Job description

The successful applicants will be involved in the development and the use of new methods and tools for illustrating bacteriophages infecting antibiotic resistance bacteria, including

  • isolating, handling, analyzing phages on antibiotic resistance bacteria
  • studing the phage-host interaction using proteomic tools and validating in vitro and in vivo

Your qualifications

  • Master in virology, microbiology, molecular biology, (environmental) genomics, microbial ecology or a related field
  • Experience in any of the following areas: viral genomics, metagenomics, NGS, proteomics
  • Fluency in English both spoken and written
  • Experience with flow cytometers is advantageous

For details click here


Posted on July 29, 2019

PhD position on Machine learning augmented clinical level imaging of cells related to pathological diseases

Empa is the research institute for materials science and technology of the ETH Domain and conducts cutting-edge research for the benefit of industry and the well-being of society. The group Biosensing and Functional Surfaces within the Transport at Nanoscale Interfaces Laboratory is offering a PhD position on Machine learning augmented clinical level imaging of cells related to pathological diseases.

Empa’s group of biosensing and functional surfaces is developing an unconventional imaging platform for reliable and rapid fingerprinting of pathological diseases by monitoring the shape, size and morphological changes occurring in cells and platelets. To this end, we will combine high resolution scanning probe microscopy with high throughput live cell imaging methodologies. The data obtained from these state-of-the-art techniques developed at Empa will be subjected to machine learning for supporting clinicians in making better prognosis of pathological diseases.

Your profile

  • Completed Master`s degree in molecular/structural biology or biophysics.
  • An outstanding academic record.
  • Previous experience in cell and protein imaging is an advantage.
  • Excellent communication and English language skills.

The successful candidate will participate in scientific collaborations within Empa and work in an international and multidisciplinary environment.

The candidate will conduct research mainly at Empa Dubendorf labs and partly at the Empa St. Gallen labs. The desired starting data is 1st of September 2019 or upon mutual agreement.

For details click here


PhD Scholarship in the High Throughput Exploration of the Sequence-dependence of Protein Aggregation

The newly established research group of Prof. Alexander K. Buell (start April 2019) at DTU Bioengineering is recruiting a PhD student, to start as soon as possible. Our research group will be situated within the section of Protein Chemistry and Enzyme Technology, where world-leading expertise in protein chemistry and structural biology is concentrated. Our laboratory performs cutting edge experimental research in the field of protein and peptide self-assembly and aggregation.

The overall aim of our research is to achieve a profound mechanistic understanding of protein and peptide assembly into ordered (fibrillar, crystalline) and disorderd (amorphous, liquid droplet) condensed phases and of the physico-chemical factors that drive it. To achieve these goals, we also collaborate with structural, computational and medical biologists. The motivation behind our research is to enable rational control of such assembly processes in the context of human disorders, protein biotechnology as well as in the creation of novel types of functional biomaterials.

Qualifications
Candidates should have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree in either Chemistry, Biochemistry, Biophysics, Biology, Biotechnology or a related field, and should ideally have carried out an experimental Master’s thesis, where he/she has gained experience with recombinant protein technology. However, excellent candidates with theoretical/computational research experience can also be considered.

Please submit your online application no later than 15 September 2019 (local time).

For details click here


Posted on July 26, 2019

PhD student within Genetic and Molecular Epidemiology

Lund University was founded in 1666 and is repeatedly ranked among the world’s top 100 universities. The University has 40 000 students and 7 600 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 Medicine is a part of Lund University, and is responsible for education and research within medicine and healthcare. Our academic programs are closely linked with the healthcare system and are firmly anchored in the faculty’s strong research tradition. Our research spans a broad field within experimental preclinical research, near-patient clinical research and health sciences research. The Faculty of Medicine, with its 1,800 employees and 2,700 students in Lund and Malmö, is a knowledge-intensive meeting place for students, teachers and researchers from all over the world.

The successful applicant will have a strong interest in precision medicine, cardiometabolic diseases (e.g. type 2 diabetes, CVD and obesity) and bioinformatics. Proven ability to program in R, Python, Bash, STATA, and SAS, and experience with machine learning methods (e.g. random forests, neural networks) as is essential and experience with web-based genomic analysis tools and databases (e.g. ANNOVAR, Gene Ontology, API, Variant Effect Predictor app, GTeX, HaploReg, UCSC Genome Browser, DEPICT and MAGENTA).

Essential characteristics:

  • - A master’s degree (or equivalent) in epidemiology or biostatistics
  • - Experience handling and analyzing complex datasets
  • - Excellent written and oral communications skills (in English)
  • - A background in diabetes, obesity or cardiovascular disease
  • - Experience with statistical methods for analyzing multivariable models
  • - Coding competence in R, Python, Bash, STATA, and SAS, and experience with machine learning methods (e.g. random forests, neural networks) Advanced familiarity with web-based functional genomics tools

Reference number PA2019/2654

Last application date 13.Aug.2019 11:59 PM CET

For details click here


PhD in computational disease systems biology

A PhD position is available in the Translational Disease Systems Biology group at The Novo Nordisk Foundation Center for Protein Research (CPR – www.cpr.ku.dk). The Center has been established at the Faculty of Health and Medical Sciences, University of Copenhagen, to promote basic and applied discovery research on human proteins of medical relevance. The Center comprises a wide range of expertise and resources including proteomics, protein production, bioinformatics and general characterization of disease mechanisms.

The PhD student will work in a multidisciplinary project team. The candidate will be working on the BigTempHealth project funded by Innovation Fund Denmark. The overall aim is to investigate how to extract fine-grained phenotypes from big biomedical data including the full spectrum of patient-specific side effects as they are described in longitudinal, structured and unstructured electronic patient record data and how composite data aggregated from different time scales can be used to improve treatment decisions, diagnostics and prognostics.

Qualifications
You hold a master or equivalent in medicine, health informatics, bioinformatics, data analysis or a related discipline of biomedical research. Preferably, you have experience in bioinformatics and biostatistics. Programming experience in R and Python is required as well as having worked with big data. Research experience in machine learning is a plus.

Deadline for applications: 20 August 2019, 23:59 p.m. CET.

For details click here


Posted on July 24, 2019

Four 4-year PhD studentships  in the Van de Peer Lab (Bioinformatics and evolutionary genomics)

Four 4-year PhD studentships are available in the Van de Peer Lab (Bioinformatics and evolutionary genomics) at the VIB Center for Plant Systems Biology at Ghent University, Belgium. The Van de Peer lab studies the evolution of (plant) genomes and in particular the importance of gene and genome duplication for evolution and adaptation. This is done mainly using computational approaches but more recently also using evolutionary experiments and through lab work.

In particular, we are looking for the following applicants:

1) One PhD student will conduct academic research (full-time) in the field of ‘evolve and resequence’ experiments and evolutionary genomics. Starting January 2020.

2) One PhD student will conduct academic research (full-time) in the field of network biology. Starting January 2020.

3) One PhD student will conduct academic research (full-time) in the field of evolutionary genomics. Starting January 2020.

4) One PhD student will conduct academic research (full-time) in the field of insect genomics and epigenetics. Starting January 2020.

For details click here


Computational Systems Biology PhD Position

Are you stimulated by challenging biological problems? Do you wish to work in a truly interdisciplinary environment? Do you want to deploy your math skills to discover the secrets of living cells? Consider applying for a PhD position at the Control Theory and Systems Biology Group (www.bsse.ethz.ch/ctsb) of the Department of Biosystems Science and Engineering (D-BSSE), ETH Zurich in Basel. Applications are invited for the project: An Advanced Stochastic Filtering Framework for the Analysis of Multiscale Biochemical Reaction Networks.

The successful candidate is expected to conduct original research within the scope of this project with the aim of obtaining a PhD degree. The research will be supervised by Dr. Ankit Gupta and Prof. Mustafa Khammash, and it might involve collaborations with other groups at ETH Zurich and also externally. Apart from research the candidate is also expected to contribute to teaching activities. ETH Zurich provides a wonderful platform to PhD candidates to develop professionally and personally, with multiple training opportunities and access to world class research facilities.

The successful candidate must have an undergraduate and preferably a Masters degree in engineering, mathematics, statistics or physics. The candidate should be able to demonstrate, through coursework or projects, expertise in one or more of the following areas: probability theory and stochastic processes; dynamical systems and control; signal processing; estimation and detection theory. Prior experience with reaction network models in biology is desirable but not mandatory. A substantial part of the research project will be computational in nature and hence applicants with good programming skills will be preferred. Opportunities exist for collaborating with experimental scientists to test the proposed theoretical methods.

Last date for receiving applications is September 1, 2019 or until the position is filled.

For details click here


Posted on July 22, 2019

PhD Student in Biotechnology/ Biomedical Sciences/ Bioscience Engineering/ Bioinformatics

Recently the RARE-MED consortium was established at Ghent University, a multidisciplinary consortium for basic and translational research on precision medicine for rare diseases. As one of the partners of this consortium, we want to address the missing heritability in these rare disorders. To this end, you will be engaged in generating and integrating (structural) genomics, epigenomics, transcriptomics and proteomics data to identify putative causal variants in patients with currently unsolved molecular diagnosis. In addition, you will also use state-of-the-art functional assays such as luciferase assays and/or multiple parallel reporter assays (MPRAs) to interpret the effect of the identified (non)coding variants.

We are looking for a talented and highly motivated PhD student to join our enthusiastic and young team. We provide an open and stimulating working environment, in which teamwork, initiative, a critical mindset and originality are highly appreciated. We offer a position for 1 year, which will normally be extended to 4 years in case of a positive evaluation. Note that the latter may require application for a FWO/BOF doctoral fellowship.

Profile of the candidate

  • You obtained a Master of Science in Biochemistry, Biotechnology, Biomedical Sciences, Bioscience Engineering, Bioinformatics or equivalent.
  • You have a strong interest in genetics and molecular biology. Prior experience with next generation sequencing and data-analysis is considered an advantage.
  • You are an accurate and precise worker and possess strong analytical problem-solving skills (creative, critical, thinking out-of-the-box).
  • You can work independently, yet you are also a team player.
  • Candidates must have excellent written and oral communication skills in English.

Last application date Aug 31, 2019 14:37

For details click here


Two graduate students (MSc or PhD) position in Computational Biology

We have full funding for two graduate students (MSc or PhD). The candidates for the positions should have excellent background in life science, statistics/math or computer science. If candidates have background in computer science, they can register in graduate program in The Department of Computer Science. If candidates have background in computer science, engineering, math or statistics, they can register in graduate program in The Department of Electrical and Computer Engineering at The University of Manitoba. If candidates have background in life science, they can register in graduate programs in The Department of Biochemistry and Medical Genetics at The University of Manitoba.

The first position will focus on developing deep learning models for medical images, drug discovery and the second position will focus on developing statistical and computational models for single cell sequencing data analysis.

To apply for the positions, please send a CV, transcripts, related reports/publications written in English to Dr. Pingzhao Hu at pingzhao.hu@umanitoba.ca before September 1, 2019 for Canada/USA applicants to be starting at 2020 Winter Term or October 1, 2019 for international applicants to be starting at 2020 summer term.

For details click here


Posted on July 19, 2019

PhD student position in machine learning / cancer biology

We have an exciting opportunity for a PhD student. The position will be for 4 years and should result in a PhD thesis at the University of Groningen. The PhD student position is available in the research group of dr. Rudolf Fehrmann. The research group is embedded in the Department of Medical Oncology of the University Medical Center Groningen (UMCG), where oncological patient care is coordinated with preclinical and fundamental research on the biology and treatment of cancer. The research group also participates in the Cancer Research Center Groningen (CRCG), which is part of the Graduate School for Medical Sciences.

You will work on a project aiming to unravel the ‘cancer-immune setpoint’ in cancers with machine learning. During cancer development, tumor cells undergo molecular ‘rewiring’ to escape the immune system, often by activating mechanisms that suppress an anti-cancer immune response. Immunotherapy can circumvent some of these mechanisms and thus trigger an anti-cancer response. Evidence is emerging that a complex set of tumor, patient and environmental factors govern the strength and timing of the anti-cancer immune response. The combined result is a ‘cancer-immune setpoint’, which has been defined as the equilibrium between the factors that promote or suppress this response. You will use natural language processing to obtain big-data data from the public domain (genomics and transcriptomics), implement auto-encoders to define molecular subclasses and build neural networks to predict relevant phenotypes for the cancer-immune setpoint.

You can apply until 1 September 2019.

For details click here


PhD Position F/M Artificial Life as a benchmark for evolutionary studies

Grenoble Rhône-Alpes Research Center groups together a few less than 800 people in 39 research teams and 8 research support departments. Staff is localized on 5 campuses in Grenoble and Lyon, in close collaboration with labs, research and higher education institutions in Grenoble and Lyon, but also with the economic players in these areas.

This thesis is part of the Evoluthon project, funded by the National Agency for Research in 2019, in collaboration with the LBBE molecular evolution laboratory in Lyon. The goal is to build artificial genomes, organisms and populations, and an in silico evolution system that allows testing methods, principles and software usually applied to the evolution of the living world.

The recruited person will have to construct principles of evolution and functioning of artificial organisms, as close as possible to the biological world, but without in principle importing methods of reconstruction, to evolve in silico organisms usable by the methods of reconstruction. It is planned to start from a solid existing software, Aevol, developed in the team, and to provide several necessary adaptations, such as the structuring of populations or a realistic genetic code.

Analyze the different solutions proposed in the literature for the evaluation of evolutionary methods, in terms of bioinformatics as well as bio-inspired computer science (bibliography). Documentation in software testing method, validation protocols, free software policy and open data.

Deadline to apply : 2019-09-30

For details click here


Posted on July 17, 2019

PhD Scholarship in Genomic prediction in horticultural crops

The Queensland Alliance for Agriculture and Food Innovation (QAAFI) is a research institute of the University of Queensland (UQ) which was established in 2010 and comprises of three research centres – the Centre for Plant Science, the Centre for Animal Science, the Centre for Nutrition and Food Sciences. QAAFI’s team of 450 researchers, postgraduate students and support staff undertake high impact science for agriculture and food industries. The institute’s strong partnership with the Queensland Government provides our researchers with a direct link to the agriculture industry in Queensland, and world class field research facilities throughout Queensland.

Selection criteria
Applications are invited from outstanding and enthusiastic domestic or international graduates with background in, or ability to learn, quantitative genetics and /or statistics, plant (preferably tree) biology, and bioinformatics. Applicants should possess a First Class Honours Degree, Masters Research Degree or equivalent, with at least one peer reviewed publication.

Prospective candidates are requested to email an Expression of Interest to craig.hardner@uq.edu.au in the subject line quote ‘PhD Scholarship – Phenotype Prediction job number: 508031'.

For details click here


PhD position on the characterization of neuronal signaling in the intestinal stem cell niche

Applications are invited from highly motivated biology/biochemistry graduates (diploma, M.Sc. degree or equivalent). In our group we use state-of-the art in vitro and in vivo systems to investigate mechanisms underlying the intestinal neuro-epithelial communication in mice. In his/her project the PhD candidate will study key signaling mechanisms by which the enteric neuronal niche modifies epithelial cell function. The focus of the project will be on the modulation of intestinal epithelial stem cells by the neuronal niche and its implications for homeostasis and regeneration.

The PhD project will include interrogation of key signaling pathways using organoid studies as well as experimental in vivo models for cell type specific gene targeting. The candidate will have the opportunity to apply for the PhD program of the TUM Medical Graduate Center (MGC) of TUM Graduate School that provides structured training and supervision. The PhD position is offered for a 3-year period.

Your Profile:
• Very good master or equivalent degree in live or natural sciences
• Strong motivation, scientific curiosity, flexible, independent, with a keen interest in
stem cell biology
• Experimental experience in molecular cell biology and cell culture models;
experience in animal research models is advantageous

For details click here


Posted on July 15, 2019

Fully Funded PhD Position in ‘Single-cell Endocrinology’ Group

The group of Dr. Sumeet Pal Singhat the Institut de Recherche Interdisciplinaire en Biologie Humaine et moléculaire (IRIBHM), an Institute of the Université libre de Bruxelles(ULB), is offering a PhDposition starting 01 November, 2019.

The major aim of the group’s research is to understand the development of cellular communities using endocrine organs, specifically thyroid gland and pancreatic beta-cells, as a model system. The researchis focussed on using zebrafishas a model system. The junior group uses a broad range of molecular, genetic, next-generation transcriptomic and imaging techniques to investigate developmentalprocesses (https://sumeetpalsingh.github.io/).

The PhD student will be involved in live-imaging intercellular signalling pathways in the thyroid gland (https://sumeetpalsingh.github.io/project/live-imaging), and for developing tools modulating cAMP signalling in thyroid follicular cells. The tool development would additional lead to new models of hypo-and hyperthyroid disease models.

Requirements:
1.Diplomas and degrees equivalent to a European Union Master's degree, which includes project work summarized in a written “small thesis”
2.Three referees willing to provide letter of recommendations
3.Excellent knowledge of English
4.Excellent interpersonal and organisational skills

Kindly submit your CV with the contact information for three referees and a letter of motivation by email to sumeetpalsingh@gmail.com.

For details click here


Doctoral Grant: Gastroenterology, oncology and microbiology

The Faculty of Medicine and Health Sciences is seeking to fill a full-time (100%) vacancy in the Department of Translational Research in Immunology and Inflammation, Laboratory of Experimental Medicine and Pediatrics for a Doctoral Grant by the University Research Fund (BOF) in the area of gastroenterology, oncology and microbiology.

Job description

  • You prepare a doctoral thesis in the field of gastroenterology, more precisely a fundamental and translational research focusing on the crosstalk between inflammatory-induced MUC13 signaling and the microbiome in gastric cancer development. For this purpose, different techniques including in vitro cell culture experiments, microscopy, RT-PCR, Western Blotting, ELISA, Next-Generation Sequencing (transcriptomics and metagenomics) and in vivo animal models will be applied.
  • You publish scientific articles related to the research project of the assignment.
  • You contribute to teaching and research in the Department of Translational Research in Immunology and Inflammation, Laboratory of Experimental Medicine and Pediatrics, Faculty of Medicine and Health Sciences.

Profile and requirements

  • You hold a master degree in medicine, veterinary medicine, bioscience engineering, bioinformatics, pharmaceutical or biomedical sciences.
  • You can submit outstanding academic results.
  • Students in the final year of their degree can also apply.
  • Foreign candidates are encouraged to apply.

Applications may only be submitted online, until the closing date August 11th 2019 and should include a copy of your CV and a cover letter.

For details click here


Posted on July 12, 2019

Two PhD positions for computational analysis and modeling of single-cell decisions in pancreas development

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. The wet-lab protocols have already been setup and are producing single-cell omics data. The analysis integrates with the computational lab from the Institute of Computational Biology (ICB) with corresponding machine-learning based tools. One particular project the successful candidate will be working on is the integration of single-cell pancreas data from multiple species.

Your responsibilities

  • Analysis of single-cell omics data in close collaboration with experimental partners
  • Implementation, development and extension of methods for processing and analyzing single-cell omics data (e.g. scRNA-seq, scATAC-seq, Perturb-seq, CITE-seq, spatial transcriptomics, in vivo barcoding and lineage tracing etc.)
  • Modelling cell lineage decision tree

Your qualifications         

  • MSc university 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 learning and scientific work
  • Proficient in written and spoken English
  • Team player being comfortable in interacting with colleagues in an interdisciplinary setting

For details click here


Doctoral student in 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 7 600 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.

Sap-sucking aphids represent a world-wide threat to agricultural crop productivity by inflicting direct damage and nutrient-deprivation to the host plants, but also by acting as major vectors for plant pathogens such as viruses. The research project aims to engineer aphid resistance into plants by genetic transfer of the biosynthetic pathway for iridoids, pheromones that atract aphid predators, into crops like rapeseed and camelina. Female aphids produce iridoid pheromones to attract male aphids to the plants they are colonising. However, the pheromones also attract predatory insects like green lacewings (Chrysoperla sp.) that will effectively scavenge and remove aphid populations.

Required qualifications

• Master in Molecular Biology, Biology or similar, with experience in molecular biology, genetics and plant physiology.
• Strong verbal and written communication skills in English.
• Highly motivated with strong ability to work independently as well as to collaborate within a research group.
• Practical experience in working with Arabidopsis thaliana or other Brassicaceae is of merit.
• Practical experience in molecular and biochemical techniques such as genotyping, sequencing, bioinformatics, PCR, RNA work, cloning, liquid chormatography or mass spectrometry is of merit.

Eligibility

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.

Last application date 15.Jul.2019 11:59 PM CET

Reference number: PA2019/1914

For details click here


Posted on July 10, 2019

PhD position: Computational biology or bioinformatics

The department Computational Biology for Individualised Medicine (BIIM) of Prof. Dr. Yang Li from the Centre for Individualised Infection Medicine (CiiM) in Hannover, Germany is offering a PhD position: Computational biology or bioinformatics.

Tasks
The goal of our project is the development of algorithms and computer-aided methods to analyze multi-omics datasets (including single cell RNA sequencing data) from patients, to identify crucial molecules in determining disease phenotypes, which can be used as therapeutic targets for personalize medicine in infection research. The methods that we employ or develop in our research are related to the fields of machine learning and systems genetics.

Prerequisite

  • Master’s Degree/Diploma in bioinformatics/biology/statistics/computer science/physics, or a comparable discipline; Experience with advanced statistics is a plus
  • Excellent English communication skills (written and spoken)
  • Ability to work independently and as part of an international team
  • Skills in computer programming (e.g. R, JAVA, Python), experience with different operating systems (Linux, Windows)
  • Excellent communication and reporting skills

Code: 68/2019

Applications accepted until 2019-08-11

For details click here


PhD Thesis in the field of Data Science (Precision medicine in oncology)

Roche Pharma Research and Development and the Institute of Computational Biology at the Helmholtz Center Munich invite applications for an exciting PhD position as part of the Munich Data Science Grad School program https://www.mu-ds.de/. The successful candidate will be working in a collaborative and stimulating research environment between Roche Pharma Research and Development (pRED) at the Roche Innovation Center Munich (RICM) and the Institute of Computational Biology (ICB) at Helmholtz. With successful completion of your thesis you will graduate from the Technical University of Munich.

In the past there have been advances in the therapy of oncological diseases and especially targeted therapies have been associated with improved patient outcomes. Nevertheless, characteristics and trajectories of patient populations with lack of response to such treatments are still not fully understood and the true potential of interventions such as cancer immunotherapies might have not been reached yet.

As part of this PhD project, the successful candidate will analyze real-world and clinico-genomic data employing advanced statistical and machine learning methods to identify patient characteristics that could predict response to new treatments such as cancer immunotherapies. The potential PhD candidate for this project will integrate biomarker and clinico-genomics data to help understand mechanisms and features, as well as treatment regimens that might improve patient-centered outcomes employing real-world data analysis.

Your Profile

  • You hold a Masters (MSc) or equivalent in computer science, electrical engineering, math, physics, biostatistics, bioinformatics, or other related fields
  • You have excellent programming skills and are fluent in at least one of the following statistical languages: R, Python, SAS, Matlab
  • You have experience in working with secondary databases such as electronic health records (EHR), claims/dispensing data, registries, population-based data, etc.
  • You have experience in aggregating, manipulating and pivoting data tables (using e.g. SQL, dplyr, etc.)

Job-ID 201907-119625

For details click here


Posted on July 08, 2019

PhD studentship in Bioinformatics and evolutionary genomic

A 4 year, ERC funded, PhD studentship is available in the Van de Peer Lab in Bioinformatics and evolutionary genomic at the VIB-UGent center for plant systems biology. The PhD student will conduct academic research (full-time) in the field of evolution and evolutionary genomics. Starting from January 2020.

Whole genome duplication (WGD) or polyploidisation provides an organism with an extra copy of the genome. As this copy is entirely redundant it has the potential to evolve new functionality. Consequently polyploidy is considered to be a major factor contributing to (plant) evolution. Nevertheless polyploidisation is a rather stressful event as the extra copy of the genome hampers cell division and causes considerable transcriptional and epigenetic upheaval. Several lines of evidence suggest that polyploid success is somehow linked to environments that are considered to be stressful to their lower ploidy ancestors.

Profile

  • The applicant should have a master's degree in biology, bio-technology, bio-engeneering (or equivalent) or will have obtained this degree by the start of appointment: January2020.
  • A strong interest in evolutionary biology is required and experience in both empirical research and bioinformatics are preferred.
  • The student needs to be dedicated to carrying out long-term multidisciplinary research which involves regular maintenance of duckweed cultures, some molecularwork, as well as evolutionary genomic analyses.
  • Basic knowledge of programming/scripting and statistics is required.
  • Fluent English and good communication skills, oral and in writing, are essential.

Motivated candidates are asked to appline online. Application deadline is October 1st.

For details click here


PhD position in Pharmaceutical Sciences with focus on AI/ machine learning

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 44.000 students, 7.100 employees and a turnover of SEK 7 billion.

Placement: The PhD student position is associated with the research group Pharmaceutical Bioinformatics.

Duties: The successful candidate will be part of the interdisciplinary research project Hierarchical Analysis of Temporal and Spatial Data (HASTE) within the research group of Assoc. Prof. Ola Spjuth, Co-supervisors will be Prof. Carolina Wählby and Assoc. Prof. Andreas Hellander.

Requirements: The highly motivated candidate, with an academic degree at the Masters level or equivalent (at least 240 credits), should be experienced in programming and have a strong interest in research on AI/machine learning on image data from life science applications. Excellent skills in oral and written English are required.

Please submit your application by 12 of August 2019, UFV-PA 2019/2595

For details click here


Posted on July 05, 2019

Doctoral (PhD) student position in Tumor Biology (KID funded)

Department of Microbiology, Tumor and Cell Biology (MTC) at Karolinska Institutet conduct research and teaching in immunology, infection biology, cell biology and cancer. MTC has about 430 active employees, including 80 PhD students, 77 postdoctoral researchers and 32 professors. Key words are multidisciplinary, bridging, translational, national and international collaborations. A doctoral student is admitted to third-cycle/doctoral education. A doctoral education consists of supervised research, combined with courses and other educational activities. An individual study plan is established for each doctoral student. For a doctoral degree, the equivalent of four years of full-time doctoral education is required.

Skills and personal qualities We are seeking a talented, enthusiastic person with an interest in tumor biology. The successful candidate should be self-motivated and has the ability to work productively and dynamically in a group. He/she is expected to actively contribute to both the practical and theoretical parts of the project, and to have excellent communication and organizational skills. Proficiency in oral and written English is necessary. Applicants should hold a masters' degree (or equivalent) in biology, pharmacology or another relevant life science. Excellent laboratory skills in molecular biology and cell culture are required. Previous experience in the research field, proficiency in human stem cell culture techniques and bioinformatics are seen as an advantage. Emphasis will be placed on personal suitability.

Reference number 2-3837/2019

Last application date 12.Jul.2019 11:59 PM CET

For details click here


PhD candidate position in Molecular and Cognitive Neurosciences

We offer a PhD candidate position at the Transfaculty Research Platform Molecular and Cognitive Neuroscience (MCN, https://mcn.unibas.ch/ ) at the University of Basel, Switzerland. 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.

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.

The successful candidate will have a Master's degree (or comparable) and a strong background in Psychology, Data Sciences, Bioinformatics, Computer Science, Statistical Genetics, Neuroscience or related disciplines. The ideal candidate will have hands-on experience of programming in R and SQL, experience in using git and Linux as well as affinity to statistical (genetics) methods. While English language skills are essential, German language skills are useful but not essential.

For details click here


Posted on July 03, 2019

Ph.D.  position in computational detection of RNA-DNA triple helices

The Institute for Computational Genomics, RWTH Aachen University performs cutting edge research on computational and genomic methods for understanding regulatory and epigenetic processes driving cell differentiation and diseases (Gusmao, Nature Methods, 2016, Li, Genome Biology, 2019). This project aims studying RNA-DNA interactions as mechanisms of transcriptional control. We have recently shown how long-noncoding RNAs (HOTAIR, GATA6-AS, NEAT1) interacts with DNA via triple helices to control the expression of genes during cell differentiation (Kalwa et al., NAR, 2016; Kuo, NAR, 2019; Frank, Cell Stem cell, 2019).

We are looking for a phd candidate to work on sequence analysis algorithms and statistical models for detection of RNA-DNA triple helices. This includes the analysis of novel in vitro transcription experiments and target sequencing protocols, which capture triple helix forming RNA and DNA molecules. This project will be performed in collaboration with cell biologists of RWTH Aachen, University of Cologne and University of Oslo.

Applicants should hold a M.Sc. (Ph.D.) in Bioinformatics or Computer Science. Experience in the analysis of biological sequences and regulatory genomics is required. The candidate should have solid programming skills (C, Python and/or R) and acquaintance with Unix/Linux. Experience with high performance computing is a plus. The working language of the group is English. The position is a will be initially for 3 years with possibility of extension. The salary corresponds to level 13 TV-L.

For details click here


Ph.D. candidate  in "Computational method development for bulk and single cell RNAseq of inflammatory skin diseases"

The new junior research group “Computational Biomedicine” headed by Dr. Michael Menden has an open PhD position in the field of computational method development for bulk and single cell RNAseq of inflammatory skin diseases. The Institute of Computational Biology (ICB) is globally recognised for innovations in data analysis and modelling of biological systems and diseases, anchored at the Helmholtz Centre Munich and the Technical University Munich (TUM). For our new junior research group ‘Computational Biomedicine' headed by Dr. Michael Menden, we are currently looking for a Ph.D. candidate (f/m/d) in "Computational method development for bulk and single cell RNAseq of inflammatory skin diseases" The PhD position will be co-supervised by Dr. Richa Batra, in collaboration with Prof. Dr. Killian Eyerich and Dr. Stefanie Eyerich.

The Ph.D. project will focus on developing novel disease classifications and patient stratifications of inflammatory skin diseases based on bulk and single cell sequencing. This data is complemented with deep clinical phenotyping as wells as treatment records, enabling to build innovative computational methods to explore drug response dependencies. This project is in collaboration with world leading experimental dermato-immunologist including Prof. Dr. Killian Eyerich and Dr. Stefanie Eyerich from TUM and ZAUM, respectively. Through this collaboration, the Ph.D. student will have access to unpublished clinical data, shape future experiments, develop innovative computational methods and ultimately pave the way for personalised medicine in immunology of inflammatory skin diseases.

Your Qualifications

  • Master’s Degree in Bioinformatics, Biostatistics, Physics, Informatics or equivalent with interest in immunology and inflammatory skin diseases. Alternatively a Master’s Degree in Biotechnology, Biology or equivalent with significant experience and interest in Bioinformatics / Biostatistics.
  • Excellent programming skills in either R, Python or C/C++
  • Scientific curiosity and ability to work independently
  • Excited to work in a young and multi-disciplinary, collaborative environment including academic and industrial partners.
  • Excellent communication and presentation skills, including experience in communicating across discipline boundaries.
  • Fluency in spoken and written English. The following qualifications are considered advantageous

For details click here


Posted on July 01, 2019

PhD position in Bioinformatics with focus on quantitative proteomics and single cell transcriptomics

We are seeking a PhD fellow to apply bioinformatics to analyse high-resolution quantitative proteomics data as well as single cell transcriptomic data derived from the conductive system of the heart. The PhD fellow shall focus on analysis of data produced by colleagues in our team. This will involve in-depth characterization of the molecular differences between the primary components of the cardiac conduction system, specifically the sinus node, the AV node and the purkinje fibers. The position provides an opportunity to develop bioinformatics expertise in quantitative mass spectrometry, cutting-edge discovery proteomics and integrative analysis of big data.

The candidate will be part of the Cardiac Proteomics group led by Associate Professor Alicia Lundby at the Department of Biomedical Sciences and the Novo Nordisk Foundation Center for Protein Research at the University of Copenhagen, Denmark. The research focus of the Cardiac Proteomics group is to use high-resolution LC-MS/MS to obtain insights beyond the current molecular understanding of the heart; both at the level of protein expression, as well as phosphorylation mediated protein signaling. We work closely together with cardiologists in the clinic to ensure high impact and translatability of our research.

The successful candidate will:

- Perform unbiased data-driven analyses of large-scale proteomics and transcriptomics datasets investigating the cardiac expression profiles underlying timely propagation of the cardiac electrical impulse.
- Perform bioinformatics data integration of proteomics and transcriptomics datasets.
- Adapt and translate cutting edge software tools and bio-statistical analyses into streamlined data analysis workflows for mass spectrometry applications and transcriptomic data sets.

Qualifications

- Master degree in Bioinformatics, Computational Biology, Biostatistics or equivalent
- Ability and enthusiasm to learn new methods/techniques
- Good communication skills in English, both oral and written
- Highly ambitious and self-driven
- Previously demonstrated a capacity for excellence
- Experience in high-resolution mass spectrometry (LC-MS/MS) and data analysis hereof (such as MaxQuant, Perseus, R) or experience in single cell transcriptomics (such as Seurat)

Please submit your online application no later than July 24th 2019.

For details click here


Doctoral (PhD) student position with doctoral grant in molecular diagnostics of genetic diseases of the immune system

We are looking for a highly motivated, enthusiastic, and talented student to perform cutting-edge interdisciplinary research, with the overall aim to improve diagnostics and understanding of primary immunodeficiency diseases. At Karolinska Institutet, a doctoral education consists of supervised research tailored to the student, combined with courses and further educational development. The PhD will be undertaken in the research group of Yenan Bryceson.

Department of Medicine, Huddinge The Department of Medicine at Huddinge comprises seven units, encompassing three research centres with 70 independent research groups. The project will be pursued at the Centre for Haematology and Regenerative Medicine (HERM; http://ki.se/en/medh/herm). HERM is a leading translational research centre encompassing research groups involved in haematology, haemopoiesis, immunology and cell therapy.

To address this, the student will learn to employ and interpret data from a wide range of techniques including advanced multi-parameter flow cytometry, FACS sorting, whole-genome sequencing, RNA-seq and ATAC-seq, advanced molecular biology techniques, general data analysis, and bioinformatics. The student will be encouraged to acquire programming skills to facilitate advanced bioinformatical analyses. Working with a dynamic team of researchers and clinicians with strong track-records in immunology, immunogenetics and functional diagnostics, this PhD project offers an ambitious, interdisciplinary and translational opportunity for the student to develop a range of bioinformatic, genetic, molecular, and immunological competences with results ultimately promising to benefit patients and clinical practice.

Applicants should have a relevant educational background in biotechnology, bioinformatics, genetics, chemical engineering, immunology, molecular biology, cell biology, biochemistry, or similar. Candidates with a combined background covering programming, math, and biology are highly encouraged to apply. Interest or experience in the base computational/programing skills needed to learn how to perform bioinformatics will be looked upon favourably. Additionally, previous experience from working in a biomedical research lab or expertise in molecular or cell biology is advantageous.

Last application date 01.Jul.2019 11:59 PM CET

For details click here


Posted on June 28, 2019

PhD student: Marine genomics and bioinformatics

The department for Marine Sciences (http://marine.gu.se/english/) is Sweden's most complete academic environment for marine research and education, and it is one of few such institutions in Europe. The Department for Marine Sciences, founded 2015, brings together expertise in physical oceanography, marine chemistry, marine biology, marine geology, and marine heritage conservation. Thus the department has excellent opportunities to meet future challenges in marine research and education. The department of Marine Sciences are located with permanent staff in Gothenburg and at the research stations Kristineberg and Tjärnö on the Swedish west coast north of Gothenburg.

You will join a team that use experimental and in silico methods to study functional-, ecological- and evolutionary genomics of the diatom Skeletonema marinoi. The successful candidate is expected to work with analysis of genomic and transcriptomic sequence data using bioinformatic methods. The primary computational recourse used in this project is the computer cluster Albiorix (http://albiorix.bioenv.gu.se/) and as a member of the bioinformatics group you will under supervision be part of the maintenance and administration of this system.

We are seeking a highly motivated and independent person with a background in bioinformatics to pursue PhD studies in natural science, specializing in biology. The applicant is expected to have an interest in science-based development of marine genomics and bioinformatics and a willingness to work in a team, flexibility in learning new tasks, and excellent data management, programming and communication skills.

Diary id: PAR 2019/945

Apply by: 2019-07-21

For details click here


PhD fellows in Biological Sciences

The Department of Biology, Faculty of Science at the University of Copenhagen is offering up to four fully funded PhD scholarships within the Biological Sciences commencing 1 November 2019 or as soon as possible thereafter.

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 MSc degree in biology, molecular biomedicine, biochemistry, bioinformatics or closely related field with excellent results. As criteria for the assessment of your qualifications, emphasis will also be laid on previous publications (if any) and relevant work experience.

Application deadline: 01-09-2019
Employment start: 01-11-2019
Department/Location: Department of Biology

Posted on June 26, 2019

PhD in biomedical modelling and machine learning

Teesside University is delighted to be able to offer a number of part funded industrial PhDs to eligible SMEs in the north east. This project is funded by the University and European Regional Development Funding and looks to support local firms with their research and development needs, developing new products and services in key sectors and creating high quality jobs in the local economy. North East England’s universities are joining forces under a £3.9m scheme, funded by the European Regional Development Fund, to connect the region’s businesses with research to encourage growth and job creation.

Changes in microbiomes have been recently linked with major impacts on human health. Furthermore, sequencing studies can elucidate the abundance of the species with high accuracy. The large number of species and biological components involved in these microbiomes, coupled with their highly dynamic behaviour, make it difficult to extract information from available biological samples. Another major challenge is that such populations are often mixed (bacteria and fungi).

This PhD studentship opportunity is offered through the Intensive Industrial Innovation Programme (IIIP). The IIIP Programme is a collaboration between Northumbria, Durham, Newcastle and Teesside Universities, receiving up to £2,202,411 of funding from the England European Regional Development Fund (ERDF) as part of the European Structural and Investment Funds Growth Programme 2014-2020.

Applicants should hold or expect to obtain a relevant degree at 2.1 minimum, or an equivalent overseas degree in Bioinformatics, Mathematics, Engineering, Physics, Computer Science or a closely related subject. Good programming skills are desired. Previous experience in general mathematical or biomedical modelling is also desired, but not essential. International students would be subject to the standard entry criteria relating to Tier 4 visa procedures English language ability and ATAS certification.

Deadline for applications: 28/06/2019

For details click here


PhD position bioinformatics

The Departments of Genetics and Pediatrics, at the University Medical Center Groningen, the Netherlands, are looking for a potential PhD student or junior postdoc in the field of bioinformatics to assess the contributions of microbiome-derived signals in the etiology of age- and obesity-related cardio-metabolic diseases through (immune) senescence.

The candidate will investigate the role of gut microbiota composition in immune senescence, predisposition to cardiovascular diseases, and its relation to host genome, environment and lifestyle. This project is a part of “Inflammatory Reprogramming by Ageing and Microbiome - Targets for Treatment of Cardiovascular Disease”, a large, national project funded by CVON (CardioVascular Onderzoek Nederland). This project involves multi-omics integration in multiple human cohorts and assesses the impact of the gut microbiota, immunological parameters related to ageing and risk to CVD.

What do we need

  • M.Sc. degree in bioinformatics, computational biology, systems biology or a comparable discipline. The candidate with experiences in microbiome, metabolism and immunity is preferable.
  • Experience with advanced statistics, biology or biochemistry
  • Excellent oral and written communication skills
  • Fluency in English

You can apply until 7 July 2019.

For details click here


Posted on June 24, 2019

Phd Position In Bioinformatics And Oncology

We are looking for a PhD student in the field of translational bioinformatics. The project aims to detect chromosomal breakpoints with impact on colorectal cancer. Colorectal cancer (CRC) is caused by genomic alterations such as point mutations, DNA copy number aberrations and structural variants, the latter comprising deletions, insertions, inversions, and intra- and inter- chromosomal translocations, all of which involve chromosomal breaks. The impact of recurrent chromosomal breaks in CRC has been poorly characterized (van den Broek et al, 2015). This project will use advanced bioinformatics analyses and machine learning techniques to characterize recurrent breakpoint genes in more detail, in order to improve molecular DNA-based classification and thereby stratification of CRC patients for early diagnosis, prognosis and therapy prediction.

The computational challenge is to detect relevant breakpoints while filtering the experimental and biological background signal. The aim of this project is to use advanced machine learning techniques to characterize recurrent breakpoint genes in more detail, in order to detect those events with a direct impact on the tumor. By learning over multiple molecular and clinical data sources, we hope to improve molecular DNA-based classification and thereby stratification of CRC patients for early diagnosis, prognosis and therapy prediction.

Specific Requirements

  • An MSc degree in Bioinformatics, computational biology or an MSc degree in the Life Sciences, with a specialization in Bioinformatics
  • A strong interest in biomedical research and oncology
  • Able to write bioinformatics workflows using Python and R
  • Good communication and academic writing skills

If you have any questions regarding this vacancy, you may contact:

Name: Caroline Waij
E-mail: informatica.secretariaat.few@vu.nl

For details click here


PhD scholarship in Protein Structure, Function and Proteomics

A PhD fellowship is available in the project “Molecular Insight of Alginate Degradation by Human Gut Microbiota and Host Interplay”. The research is carried out at DTU Bioengineering in collaboration with DTU Food, DTU Biosustain, Architecture et Fonction des Macromolécules Biologiques (AFMB), Marseille, Division of integrated Life Science, Graduate School of Biostudies, Kyoto University and Department of Biotechnology, Norwegian University of Science and Technology, Trondheim.

Responsibilities and tasks

You are our new PhD student, interested in

  • Identification of gut bacteria degrading defined alginates by bioinformatics and functional screening of microbiota and genome analysis of relevant bacteria for alginate specific polysaccharide utilization loci and other important genes
  • Proteomic analysis of impact of alginate on gut bacterial cross-feeding
  • Untargeted metabolomics on bacterial culture supernatants
  • Analysis of influence of bacterial alginate utilisation on gut epithelium using RNAseq and proteomics as well as proteome analysis of host cells exposed to bacterial cultures using a two-chamber anaerobic ! aerobic system
  • Production of recombinant alginate utilizing enzymes and proteins and characterization of their biochemical and structural properties

Qualifications
Candidates should have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree.

Please submit your online application no later than 27 June 2019.

For details click here


Posted on June 21, 2019

PhD Position - Single-cell and functional genomics

The Centre for Genomic Regulation (CRG) is an international biomedical research institute of excellence, based in Barcelona, Spain, with more than 400 scientists from 44 countries. The CRG shares principles of an interdisciplinary, motivated and creative scientific team that is supported by high-end and innovative technologies and a flexible and efficient administration. CRG has been conferred with a badge of ‘HR Excellence in Research’ by the European Commission, in recognition to its progress in implementing the European Charter for Researchers and the Code of Conduct for Recruitment of Researchers, that among others consists of transparent, merit-based recruitment procedures and attractive work-life balance working conditions.

Our group studies genome regulation from an evolutionary systems perspective. In particular, we are interested in deciphering the evolutionary dynamics of animal cell type programs and in reconstructing the emergence of genome regulatory mechanisms linked to cell type differentiation (from transcription factor binding through chromatin states to the physical architecture of the genome). To this end, we apply advanced single-cell genomics and chromatin experimental methods to molecularly dissect cellular phenotypes and epigenomic landscapes in phylogenetically diverse organisms.

We are seeking a highly motivated candidate to join our team to work on an interdisciplinary project (experimental and computational) involving single-cell genomics and chromatin profiling in different systems. The research program for this position focuses on elucidating the origin and early evolution of animal genome regulation and cell type diversity (neurons, muscles, secretory cells, etc). To this end, you will apply advanced functional genomics to characterize cell types and regulatory genome features in diverse non-bilaterian metazoan species (Porifera, Ctenophora, Placozoa and Cnidaria). Specifically, this involves: (i) scRNAseq to define cell type-specific gene expression, (ii) fluorescent in situ hybridization (FISH) to validate scRNAseq-predicted cell type markers, and (iii) bulk ChIP-seq and HiC to map chromatin states and the physical compartmentalization of the genome. You will also participate in the analysis, integration, and interpretation of these omics datasets.

Deadline: June 23rd, 2019

For details click here


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.

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.

You can apply for this job no later than July 31, 2019

For details click here


Posted on June 19, 2019

12 PhD positions at Biotech Research and Innovation Centre (BRIC), University of Copenhagen

12 PhD positions are open at BRIC, University of Copenhagen (UCPH) for talented young researchers who want to pursue a PhD degree in life sciences. First cohort of 12 PhD fellows were recruited in January 2019, and we are now looking for the second cohort to start in February 2020.The scheme is co-funded by the European Union’s Horizon 2020 Research and Innovation Programme under the Marie Skłodowska-Curie grant agreement no. 801481.

iMED offers 36 months fellowships, attractive employment conditions at BRIC and enrolment as a PhD-student at the Graduate School of Health and Medical Sciences, UCPH. Each PhD student will work with an original interdisciplinary research project, developed jointly by the student and supervisor in one of BRIC’s 24 laboratories. International and interdisciplinary co-supervision is arranged for each student.

BRIC is a top research centre and our researchers have made seminal contributions in the field of epigenetics, cancer biology, stem cell biology, neurobiology and bioinformatics. The centre is located in modern buildings with state-of-the art facilities and counts 250 employees and more than 60% international researchers. The daily language is English. The centre has an open and collaborative scientific environment and a student association offering network and social activities. BRIC is part of the Faculty of Health and Medical Sciences at the University of Copenhagen.

Eligibility criteria

The programme is open for motivated researchers with a Master degree (or equivalent) and maximum three years of experience since issuing of the degree at the time of application. Applicants with an MD can have up to five years of experience. Prolonged career breaks are taken into acoount (parental leave, illness, military- or civil service).

Deadline for application is August 1st, 2019.

For details click here


PhD scholarship in Improved Immunoinformatic Methods for Rational T Cell Epitope Discovery

The Bioinformatics section at the Department of Health Technology has its main research and teaching activities in bio-medical and bio-technological informatics, metagenomics, epidemiology, integrative systems biology and machine learning. Our 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 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. We run projects combining big data and laboratory research via the national supercomputing center (Computerome) and molecular genomics laboratories.

The project will focus on further advancing our understanding of the rules associated with the process of MHC antigen presentation and T receptor recognition of their cognate epitope targets, with the aim of developing improved methods for rational epitope discovery, and T cell repertoire profiling. The project will be centered around MHC MS eluted ligand data, and single cell T cell sequence data available from collaborators and the public domain.

Qualifications
Candidates should hold a MSc in bioinformatics, biology, computer science, engineering, or a similar degree with an academic level equivalent to the MSc in engineering.In addition, the successful candidate 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 

Application Please submit your online application no later than 1 July 2019 (local time).

For details click here


Posted on June 17, 2019

44 PhD positions in Systems Medicine

PhD in System Medicine Curriculum in: Molecular Oncology, Computational Biology, Human Genetics, Medical Humanities. The PhD Program aims to train young and motivated researchers in the wide field of modern Biomedicine. The general idea is that complex systems, such as diseases and their pathogenesis, cannot be understood taking into account a single point of view. The expertise of different scientists, biologists, medical doctors, computer scientists, physicists and mathematicians must give their contribution to provide new insights.

In the international scientific environment of our school sites in Milan and Naples, Italy, the European School of Molecular Medicine (SEMM) offers 44 PhD positions. 
Applicants should hold 2nd level degree (MSc, or equivalent) in any subject related to the PhD research areas and have a certified B2 level of English proficiency.

CALL CLOSING 11 July 2019

For details click here


Doctoral (PhD) student position in Chromosome Biology

The Department of Cell and Molecular Biology (CMB) is a department with a strong focus on basic science. CMB conducts research and education in cell biology, molecular biology, developmental biology, stem cell biology, cancer and infection biology. We are looking for an ambitious, highly motivated and curious doctoral candidate to join Laura Baranello’s research group at the Karolinska Institutet in Stockholm, Sweden, to elucidate the mechanism of topoisomerase regulation during transcription with the overall goal to develop new strategies to inhibit topoisomerases function for cancer treatment.

Laura Baranello, Ph.D., was recruited from the National Institutes of Health (NIH, USA) to the Department of Cell and Molecular Biology of Karolinska Institutet as an Assistant Professor. Her group focuses on understanding how transcription, chromatin and DNA topology are functionally coordinated in human cells. The detailed understanding of topoisomerase regulatory networks during transcription will provide a new rational to target topoisomerases in cancer therapy. The group is located at Biomedicum, an interdisciplinary research platform, where the student will have access to state-of-the-art technologies and an excellent interdisciplinary research environment.

You meet the general eligibility requirement for doctoral/third-cycle/PhD education if you:

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

Reference number 2-3225/2019

Last application date 17.Jul.2019 11:59 PM CET

For details click here


Posted on June 14, 2019

PhD position in Mass spectrometry, Computational modelling and experimental mutagenesis

This is a multidisciplinary joint research effort within the Institute of Complex Systems 4 (ICS-4) – Cellular Biophysics, Institute of Neuroscience and Medicine (INM-9) and Institute for Advanced Simulations (IAS-5) and Central Institute for Engineering, Electronics and Analytics 3 (ZEA-3) at Forschungszentrum Jülich.

In excitable cells, voltage-gated calcium channels open upon depolarization and couple electrical activity to neurotransmission, muscle contraction, endocrine gland secretion and gene expression. The actin-based cellular cytoskeleton provide the scaffold for the cellular organization and the tracks for the intracellular trafficking of the channel toward and from the plasma membrane. The association between voltage-gated calcium channel and actin filaments regulates synaptic transmission. This project aims to characterize the calcium channel/actin interaction in health and disease states at the molecular level using a multi-methodology platform.

Your Profile:

  • Master degree in Biology, or related natural sciences disciplines (Biochemistry, Biotechnology, Biomedicine, Pharmacy or Molecular Medicine)
  • Strong interest in structure-function relationship of membrane proteins
  • Methodological competence in standard biochemical and molecular biology techniques
  • Experience in mass-spectrometry and bioinformatics is of advantage
  • High degree of commitment, and ability to work in a team in different environments
  • Good communication and written skills in English
Advertising division: ICS-4 - Cellular Biophysics
Reference number: 2019D-150
We look forward to receivingyour application until 10.07.2019

PhD Student in Biology

The Laboratory of Protistology and Aquatic Ecology (Ghent University) and the VIB-UGENT Centre for Plant Systems Biology are looking for a highly motivated PhD student to study cell and life cycle regulation in diatoms. The overall aim of this project is to develop and apply molecular tools to identify and functionally characterize key regulators during life cycle transition in pennate diatoms, using well-established in-house model diatom species. The candidate will apply gene editing techniques, high-throughput sequencing, physiological experiments, high throughput imaging and bioinformatics approaches to target modulators of phase transitions during the life cycle of diatoms and study these within an evolutionary context.

Tasks:

- Gene annotation and basic bio-informatic applications, gene expression studies, testing and validating using CRISPR-CAS9 technology, culturing and physiological experiments, pheromone assay development, live imaging of cell populations using fluorescent probes

- Write scientific publications and contribute to project reporting and proposal writing.

- Supervise bachelor and MSc students during projects and practical courses related to your own research.

Profile of the candidate

You have excellent grades in your bachelor and MSc degree (i.e., you belong to the top 10% of your cohort).

You have a strong interest in molecular biology, genomics/genetics, physiology and experimental biology using cell cultures, bioinformatics, marine and/or freshwater biology.

You preferably have practical experience in one or more of the above topics.

A good knowledge of R and/or a scripting language is an asset.

You have good communication and writing skills and have an excellent knowledge of written and spoken English.

All applications must be received no later than 31/07/2019 at 23:59 (CET) at anja.hondekyn@ugent.be mentioning ref. GOA-2019.

For details click here


Posted on June 12, 2019

PhD student in Laboratory of Structural Bioinformatics

The goal of the project is to understand the evolution of the Rossmann fold, one of the most prominent protein folds encompassing enzymes with >300 different functions. With the aid of bioinformatics methods, including machine learning and molecular simulations, we will reveal the principles that define the cofactor specificity in Rossmann enzymes. These principles will be used to build a “toolkit” for rational re-engineering of cofactor specificity. The proposed project involves collaboration with two partners: (i) Core Facility for Crystallography and Biophysics, University of Warsaw (Poland) and (ii) Department of Biomolecular Sciences, Weizmann Institute of Science (Israel).br /> Project is carried out within the FIRST TEAM programme of the Foundation for Polish Science.

Key responsibilities include:
Design and implementation of machine learning tools for protein sequence and structure analysis

Profile of candidates/requirements:
1. Good knowledge of Python and scientific computing libraries (sci-kit, numpy, pandas, biopython). Experience with high-performance computing and Linux environment

2. Previous experience in machine learning and bioinformatics tools (some of the following: protein sequence/structure analysis, protein design, molecular dynamics, phylogenetic analysis)

3. Good writing and oral communication skills in English

Deadline: 15/07/2019

For details click here


PhD Scholarship in Risk Assessment Modelling (Bioinformatics)

The National Food Institute (DTU Food) invites applications for a PhD position affiliated to the Research Group for Risk Benefit in the Division of Diet, Disease Prevention and Toxicology - a dynamic, sociable and highly ambitious research environment. The position is part of the RAKIP (Risk Assessment Modelling and Knowledge Integration Platform)Initiative, a collaboration between DTU Food, the Federal Institute for Risk Assessment (BfR, Germany) and the French Agency for Food, Environmental and Occupational Health & Safety (ANSES, France). The RAKIP Initiative aims to support the efficient information exchange between models and software tools in the food safety risk assessment domain.

Responsibilities and tasks

Your tasks in the PhD project will be to:
  • Analyse and compare how consumer food handling practices and habits impact exposure to microbial and chemical hazards
  • Explore innovative statistical and modeling methods to better exploit the information of food consumption databases and consumer phase models for risk assessment
  • Apply these methods on actual cases of quantitative risk assessment and/or risk-benefit assessment
  • Share models and results with the whole scientific community involved in food safety

Qualifications
Candidates should have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree.

  • You have a background in food safety and/or microbiology and/or toxicology and/or bioinformatics.
  • You are strong in mathematical modelling and data analysis, and have good programming skills, preferably in R.
  • You have good skills in written and spoken English,
  • You are higly interested in international collaboration, and have excellent communication skills.
  • You are ambitious and have a high motivation for research excellence

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

For details click here


Posted on June 10, 2019

PhD Fellowship Integrated genomics and metabolic diseases modelling

The laboratory CNRS UMR8199 "Génomique intégrative et Modélisation des Maladies Métaboliques" (Integrated genomics and metabolic diseases modelling, http://www.good.cnrs.fr) offers up to five 3-year PhD fellowships designed for outstanding and motivated graduated students of any nationality.Students will integrate one of our world leading teams in the field of diabetes and obesity and will benefit from the expertise of renowned experts in the following areas of research:

- Metabolic functional (epi)genomics and their abnormalities in type 2 diabetes and related disorders
- Molecular pathophysiology of diabetes, obesity and kidney diseases

By joining the CNRS UMR8199 unit (http://www.good.cnrs.fr), you will be part of a world-class multidisciplinary team dedicated to the identification and characterization of genetic variations and to the molecular mechanisms associated with metabolic diseases such as diabetes, obesity and kidney disease, using latest cutting-edge approaches in genetics, genomics, bioinformatics, biostatistics, molecular and cell biology, and animal models. The research unit counts 60 people headed by Professor Philippe Froguel, MD, PhD.

For details click here


PhD Stipend in Genome Sequencing and Mining for fungal quinone gene synthesis clusters

The Department consists of five sections of which three are located in Aalborg with research and teaching in Biotechnology, Chemistry, Biology and Environmental Science, one in Copenhagen on Sustainable Biotechnology and one in Esbjerg on Chemical Engineering. Place of employment of the position is Section of Biotechnology in Aalborg.

As the title implies, the PhD project concerns genome sequencing and bioinformatics mining in order to identify gene synthesis cluster that produce a variety of fungal quinones. The biosynthetic genes responsible for synthesis are usually found in gene clusters regulated by a single promotor region. The purpose is to enable the production and testing of the resulting quinones in redox flow batteries. Additional activities in the project may include genetic enhance of selected quinone production in native hosts. Typically, a constitutive promoter will be recombinantly introduced in front of the regulators, which will allow quinone production under any condition.

Applicants must have a Master of Science (MSc.) or a similar degree in Biotechnology, Biochemistry, Chemical Engineering, Chemistry, or similar from an internationally recognized University with practical research experience within one or more of the following:

  • Practical experience with culturing fungi
  • Practical experience with next generation sequencing
  • Practical experience with DNA purification and cloning
  • Practival experience with genome based bioinformatics
  • Good collaboration skills, team spirit and the ability to work independently
  • An excellent level of both spoken and written English to accommodate scientific communication and dissemination

For more information of The Doctoral School of Engineering and Science: www.phd.engineering.aau.dk

Vacancy number 18-19049

Deadline 20/06/2019

For details click here


Posted on June 07, 2019

PhD position in metagenomics

The Laboratory of Viral metagenomics (part of the Laboratory of Clinical and Epidemiological Virology) at the Rega Institute is headed by Prof. Jelle Matthijnssens, and focuses on the role of the human gut virome in human health and disease. For virome analyses, we use a recently optimized method (NetoVIR) to efficiently investigate viromes in fecal samples. For the analyses of bacteria and eukaryotes we use 16S and 18S approaches in collaboration with the lab of Prof. Jeroen Raes (also in the Rega Institute). The Matthijnssens lab currently holds six PhD students and a lab technician. Our group is now looking for a dynamic and highly motivated new student to join our young and dynamic research team, and to start a 4-year PhD project under the umbrella of the Doctoral School Biomedical Sciences.

The development of the intestinal microbiota is a key process in early life, as it significantly affects the metabolism and immune system of the host. Hence, the establishment of this symbiosis is of crucial importance to achieve and maintain optimal health. The human gut microbiota is a complex ecosystem of bacteria, viruses, fungi and parasites, influenced by external factors such as diet and the environment.

Profile
  • You are passionate about scientific research!
  • You hold a Master of Science degree in Biomedical sciences, Bioengineering, Bioinformatics,Biochemistry, Biology and/or an adjacent field, or are expected to graduate before October 1st 2019.
  • You should have graduated with at least one degree of distinction (>68%, KU Leuven eligibility criterion to start a PhD), although preference will be given to candidates with higher grades.
  • Preferentially,you have experience with next-generation sequencing both in wet lab (BSL2) as well as in silico. Knowledge of scripting languages (R, Python,Unix) is considered a strong plus. Candidates lacking wet lab experience are also encouraged to apply, but will be trained to work in the lab as well.

For details click here


PhD fellowship in Deep Learning for Microbiome Variation

A PhD position is available in the Human Proteome Variation group at The Novo Nordisk Foundation Center for Protein Research (CPR – www.cpr.ku.dk). The Center has been established at the Faculty of Health and Medical Sciences, University of Copenhagen, to promote basic and applied discovery research on human proteins of medical relevance. The Center comprises a wide range of expertise and resources including proteomics, protein production, bioinformatics and general characterization of disease mechanisms.

The Ph.D will work in a multidisciplinary project team focusing on integrating and analyzing human variation data. Within recent years, the microbiota has been established to have an important role in human health and is profoundly investigated to discover microbial interventions. To be able to successfully achieve this, we need the knowledge of which biological components are present, how they interact as a dynamic living system and with the human host.

You hold a master or equivalent in computational biology, bioinformatics or related discipline of biomedical research. You have preferably experience using machine learning and deep learning models. Programming experience in bash/UNIX, R and python is required as well as having worked with big data. Research experience with large-scale microbiome datasets and familiarity with high performance computing clusters is a plus.

Deadline for applications: 17 June 2019, 23:59 p.m. CET.

For details click here


Posted on June 05, 2019

PhD Studentship - The DNA Damage Response in Cancer

The MRC Toxicology Unit is a leading international research institute within the School of Biological Sciences in the University of Cambridge. The research environment provides state of the art research facilities, with excellent opportunities for collaborative interaction within a vibrant community at the University of Cambridge.

This project represents an ideal opportunity to learn a range of state-of-the-art techniques including, basic cell biology, molecular biology and bioinformatics tools to dissect the in vitro and in vivo mechanisms of cancer development. There are a variety of training modules and courses which students are encouraged to attend. In addition, students follow the Toxicology Unit's weekly external and internal seminar programs and are included in the postdoc/student forums which take place each month and offers excellent opportunities for collaboration and career development.

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. Full funding is available to UK and EU applicants only. International candidates may apply but will need to fund the difference.

Closing date 28 June 2019

For details click here


Doctoral (PhD) student position in Psychiatric Genomics and Epidemiology

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. Further information can be found at ki.se/meb.

Research group We seek a PhD student who will conduct research at the KI-Psychiatric Genomics Institute (KI-PGI). The KI-PGI begins with fundamental genomic findings and then elucidates the implications for patients, clinicians, and neuroscientists. We are deeply collaborative, and we actively work with at least 10 major genetic, psychiatric, neuroscience, and functional genomic groups. We have established, long term collaborations within the KI, Sweden, Europe, the US, and Australia. We have multiple large new datasets, including expansion of the Swedish Schizophrenia Study (S3), Genomic Aggregation Project in Sweden (GAPS), and TRYGGVE2 (an effort to harmonize psychiatric genomics in Denmark, Norway, and Sweden).

You meet the general eligibility requirement for doctoral/third-cycle/PhD education if you:

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

Last application date 24.Jun.2019 11:59 PM CET

For details click here


Posted on June 03, 2019

PhD candidate Innovative Training Network

NITIATE (lnnate-lmmunometablism as Antiviral Target) is an international Innovative Training Network funded by the European Commission with the goal to train a new generation of young researchers in the emerging field of antiviral immunometabolism, coordinated by the department of Viroscience of Erasmus Medical Centre, Dr. B.G. van den Hoogen. Viral outbreaks and epidemics continue to impose high mortality and morbidity burdens on mankind and animals, thus emphasizing the urgent need for improvement and innovation in the development of new antiviral strategies.

While it is clear that viral replication, metabolic pathways and host immune responses are tightly interconnected, the molecular pathways and impact on viral pathogenesis are not well-defined and will be the focus of lNlTlATE. A detailed understanding of the role of metabolic regulation of the host innate immune response with regard to antiviral response and inflammation, together with knowledge of the strategies used by viruses to exploit these pathways, will fundamentally change clinical intervention in the treatment of pathogenic viral diseases.

We are looking for talented and highly motivated early career researchers educated in biology, infection & immunity, biochemistry or related subjects and experience in cellular biology, (bio)chemistry, immunology and/or virology. We expect dedication and enthusiasm for experimental research, combined with scientific curiosity and the capacity to teamwork in an interdisciplinary environment. Positions are open from August 1st 2019, until the positions are filled (at the latest January 1st 2020) and ESRs will be based in the Netherlands, Ireland, Norway, Sweden, Austria, France or Italy.

For details click here


Phd fellow in Protein Biology

Department of Biology, Faculty of Science at University of Copenhagen is offering a PhD scholarship in protein biology commencing 01.10.2019 or as soon as possible thereafter.  The main focus of the work in the host laboratory is to discover and functionally characterize novel bioactive peptides from animal venoms with potential pharmacotherapeutic application. We use a variety of biochemical and cell biological methods, supported by molecular biology and bioinformatics.

The project will focus on the functional characterization of several newly identified venom peptides to determine their receptor target and investigate evolutionary relationships between these peptides and their molecular target. In addition, the work will involve pharmacological and biophysical characterization and analysis of RNA-sequencing and mass spectrometry datasets.

Applicants should hold an MSc degree in biochemistry/cell biology/molecular biology 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 30 June 2019, 23:59 GMT+2

For details click here


Posted on May 31, 2019

PhD fellow in experimental biophysics

Department of biocomplexity/biophysics, Faculty of Science at University of Copenhagen is offering a PhD scholarship in experimental biophysics commencing 1 September 2019 or as soon as possible thereafter.

The aim of the project is to investigate various aspects of membrane repair in cells. The goal is to identify the key players in membrane repair and in particular the mechanism behind successful repair in cells. Optical techniques will be used both to induce nanoscopic holes in membranes and to shape and manipulate membranes to investigate the affinity of proteins for certain membranes shapes. The ideal candidate should have experience in thermoplasmonics, confocal imaging, optical trapping, cell culturing and Matlab based data treatment. Writing scientific articles and disseminating research at conferences/workshops requires the candidate to have excellent English skills.

Applicants should hold an MSc degree in biophysics or nanoscience with good results and good English skills. Publications in scientific journals will be regarded as an advantage. 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 1 June 2019, 23:59 GMT +2.

For details click here


PhD Position -Understanding the interplay of mutations and selection during cancer evolution

The Centre for Genomic Regulation (CRG) is an international biomedical research institute of excellence, based in Barcelona, Spain, with more than 400 scientists from 44 countries. The CRG shares principles of an interdisciplinary, motivated and creative scientific team that is supported by high-end and innovative technologies and a flexible and efficient administration. CRG has been conferred with a badge of ‘HR Excellence in Research’ by the European Commission, in recognition to its progress in implementing the European Charter for Researchers and the Code of Conduct for Recruitment of Researchers, that among others consists of transparent, merit-based recruitment procedures and attractive work-life balance working conditions.

We are looking for a PhD student to join the lab to help elucidate cancer evolutionary dynamics using population genetics predictions and simulations together with recently published and unpublished cancer sequencing data. The ideal candidate should be highly motivated and eager to work on biological problems using theoretical and computational approaches. Candidates should hold a University Degree and a Master’s Degree in physics, mathematics, statistics, genetics, bioinformatics, computer science or related disciplines within the European Higher Education System (minimum 300 ECTS) or equivalent by September 2019.

Deadline: June 23rd, 2019

For details click here


Posted on May 29, 2019

PhD Position:  Deep Machine Learning for Biotech Data Analysis 

Ghent University is a world of its own. Employing more than 15,000 people and having more than 44,000 students, it is actively involved in education and research, management and administration, and technical and social services on a daily basis. It is one of the largest and most exciting employers in Belgium, offering great career opportunities. With each of its 11 faculties and more than 100 departments implementing state-of-the-art study programmes that are grounded in research in a wide range of academic fields, Ghent University is a logical choice for its employees, as well as its students.

Ghent University Global Campus, South Korea, has a vacancy for a Ph.D. position (Teaching Assistant) in the area of biotech data science, starting from August 26, 2019 (negotiable). It concerns a temporary full-time AAP position for a renewable period of maxium 6 years. As Ghent University Global Campus maintains an equal opportunities and diversity policy, everyone is encouraged to apply for this position. The candidate will work under the supervision of Prof. Wesley De Neve and Prof. Arnout Van Messem at the Center for Biotech Data Science of the Ghent

Last application date Jun 16, 2019 14:47

For details click here


PhD in evolution of stress resistance in bacterial spores

Bacterial spores are the most resistant life forms known. They can survive extremes of heat and pH, and high doses of radiation and disinfectants. For this reason, they are often implicated in the spoilage of processed foods, and some species can additionally cause foodborne infection or intoxication. Traditionally, the resistance of spores to heat and other stresses has been considered a stable property,characteristic for each species, and food processing conditions have been designed based on the resistance parameters documented in the literature.

However, this view is being increasingly challenged,and “super-resistant” spores have occasionally appeared and caused problems in the food industry. In this project you will investigate how fast and how far spores can stretch their resistance to various stresses by making use of adaptive laboratory evolution experiments (ALE). Furthermore, you will unravel the genetic and physiological mechanisms underlying the evolved spore stress resistance by using whole genome sequencing and a range of genetic, biochemical and microbiological approaches.

Profile

  • Talented and enthusiastic molecular microbiology researcher. Master degree in biology, biotechnology, bioengineering, or similar
  • Good knowledge of microbiology, genetics and bioinformatics, including laboratory skills
  • Academic performance showing high aptitude and interest in research
  • Good communicative skills and a collaborative attitude
  • Proficiency of written and spoken English

For details click here


Posted on May 27, 2019

PhD Candidate Computational Enzymology

The Department of Chemistry seeks a motivated and enthusiastic PhD candidate to join the research group of Professor Bjørn Olav Brandsdal and will be part of the research project “Evolutionary principles of biocatalysts from extreme environments” financed by the Research Council of Norway for a four year period (2019-2023). The PhD candidate will be part of the Hylleraas Centre for Quantum Molecular Sciences. The Hylleraas Centre is a Norwegian Centre of Excellence, established by the Research Council of Norway in 2017 for a period of 10 years. About 50 scientists, post-doctoral fellows and PhD students in the field of theoretical and computational chemistry are active at the centre.

The candidate is expected to work together with collaborators at the Department of Cellular and Molecular Biology at Uppsala University in Sweden and the Department of Chemistry at the University of Bristol in UK. The candidate is also expected to spend up to 1 year at Uppsala University, Sweden and/or University of Bristol, UK.

Qualification with a Master’s degree is required before commencement in the position. If you are near completion of your Master’s degree, you may still apply and submit a draft version of the thesis. You must document completion of your degree before commencement in the position.

APPLICATION DEADLINE 13/06/2019

For details click here


PhD fellowship in the group of Cardiac Genetics at the Biomedical institute

The group of cardiac genetics is headed by Associate professor Morten Salling Olesen (https://bmi.ku.dk/english/research/the_ion_channel_group/genetics/). Our lab has a long-standing interest in the genetic component of atrial fibrillation and the disease-causing gene variants. We do large scale genetic studies using GWAS and exome sequencing strategies.

The student recruited for this project will work on existing mutants available in the lab, as well as generate new mutants and transgenics, to aid in the characterisation of mutation on heart development and function. The techniques used to study the potential phenotypes will include both imaging techniques and electrophysiology, using the zebrafish as a model organism. Basic computer skills and an interest in bioinformatics is an advantage as well.

Applicants must have qualifications corresponding to a master’s degree related to the subject area of the project. Prior experience with zebrafish, as a model organism, and molecular biology and genetics is a requirement. An animal experimental course (FELASA B or C) is mandatory for applying for the position. An interest in electrophysiology and cardiac function is also desirable.

Application deadline: 15 June 2019 (23.59pm CET)

For details click here


Posted on May 24, 2019

International CRAG PhD Program 2019

The Doctoral program of the Center for Research in Agricultural Genomics (CRAG) hosts students interested in the areas of plant biology and biotechnology, and plant and farm animal genomics and genetics. The program welcomes applications from motivated national and international students: it is open to students from all countries. PhD students are integrated into any one of the Research Groups at CRAG. Research Groups are organized into four Scientific Programs: Plant Development and Signal Transduction, Plant Responses to Stress, Plant Metabolism and Metabolic Engineering, and Plant and Animal Genomics. PhD students work under the supervision and guidance of a CRAG Group Leader or Researcher for the development of a research project leading to a doctoral dissertation.

Currently, we are inviting applications for 4 PhD positions to start around January 2020:

Eligibility:

1. The positions are aimed at students who have completed one of the following options by September 2019:

  • studies that lead to an official Spanish (or from another country of the European Higher Education Area) university degree in Biology, Biochemistry, Biotechnology, or related areas and that have 300 credits (ECTS), of which at least 60 must correspond to master level.
  • a degree in a non-Spanish university not adapted to the European Higher Education Area that gives access to doctoral studies in Biology, Biochemistry, Biotechnology or related areas.

4. Candidates cannot be in possession of a PhD Degree.

5. Candidates cannot have been hired as predoctoral students for more than 12 months before the start of the CRAG PhD position

6. Candidates cannot have started a pre-doctoral fellowship funded by the Spanish “Plan Estatal de Investigación, Desarrollo e Innovación Tecnológica” or any previous “Plan Nacional”.

Applications will be accepted until June 30, 2019

For detail click here


Doctoral (PhD) student position in Genome Fragility

A doctoral student is admitted to third-cycle/doctoral education. A doctoral education consists of supervised research, combined with courses and other educational activities. An individual study plan is established for each doctoral student. For a doctoral degree, the equivalent of four years of full-time doctoral education is required.

The Bienko-Crosetto Laboratory is located at SciLifeLab Stockholm (www.scilifelab.se), an interdisciplinary center for life sciences featuring state-of-the-art facilities and a broad range of groups working at the interface between biology, medicine, and computational sciences. The main scientific interest in the Crosetto group is in understanding why certain parts of the human genome break more often than others, and how DNA transcription and 3D genome architecture influence genome fragility. In particular, we are interested in deciphering how transcription-associated DNA breaks contribute to the formation of DNA copy number alterations and other mutations associated with cancer and neurodevelopmental disorders.

General eligibility requirement

You meet the general eligibility requirement for doctoral/third-cycle/PhD education if you:

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

Reference number 2-3024/2019

Last application date 02.Jun.2019 11:59 PM CET

For detail click here


Posted on May 22, 2019

Doctoral (PhD) student position in translational control of the macrophage phenotype

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.

A doctoral student is admitted to third-cycle/doctoral education. A doctoral education consists of supervised research, combined with courses and other educational activities. An individual study plan is established for each doctoral student. For a doctoral degree, the equivalent of four years of full-time doctoral education is required.

General eligibility requirement

You meet the general eligibility requirement for doctoral/third-cycle/PhD education if you:

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

Skills Applications are welcome from talented students with degrees in biostatistics, bioinformatics or equivalent; or students with degrees in molecular biology or biomedicine with a strong interest in statistics and analyses of large data sets. Documented post-graduation experience within the field of statistical and/or bioinformatics analysis of data from medical or biomedical research projects is preferable but not necessary. An understanding of mRNA translation and/or cancer biology is an advantage.

Reference number 2-2471/2019

Last application date 11.Jun.2019 11:59 PM CET

For detail click here


PhD Student in Hematopoietic Stem Cell Biology/Immunology

The Institute of Immunology is a theoretical institute of the Medical Faculty, which is primarily dedicated to research. Here, questions in the area of autoimmunity, tumor immunology and the regulation of immune responses are dealt with. Furthermore, the institute carries out considerable courses for medical and biology students. Finally, the institute performs the entire autoantibody diagnostics for the University Hospital.

Our group investigates how hematopoietic stem cells and progenitor cells participate and interact in the complex process of blood cell generation. The research project focuses on DNA damage recognition by the cGAS/STING immune pathway in the hematopoietic system and its role in leukemia development. Methods include mouse genetics, hematopoietic stem cell transplantation, multi-color flow cytometry, single cell transcriptomics as well as a broad range of basic molecular and cell biology techniques.

Your profile :

  • Master’s degree (or equivalent) in biology, medicine, pharmacy or related subjects
  • Practical experience in one of the following research areas is desired: cell biology, immunology, molecular biology, bioinformatics or computational biology
  • Scientific enthusiasm and intrinsic motivation
  • Ability to integrate into a scientific team and a good command of the English language

For detail click here


Posted on May 20, 2019

PhD scholarship in Metagenomics and Antimicrobial Resistance

The Genomic Epidemiology Research Group, has as the primary task is to conduct targeted research with the aim of predicting and preventing infectious diseases in humans and animals, and supporting global detection, surveillance and control, with a specific focus on AMR. The research group combines expertise in conventional and molecular microbiology with epidemiology and bioinformatics and act as EU and WHO reference centre for AMR.

Responsibilities and tasks
  • Your main responsibility will be to analyze the occurrence of AMR genes in relation to origin of the metagenomics data and in relation to bacterial composition and other genes.
  • You will accomplish this using different bioinformatics tools and machine learning to determine association between AMR-genes in metagenomics datasets.
  • You will communicate research results by presenting data at project meetings and international conferences, and write reports and manuscripts for publication.

Qualifications Candidates should have a two-year master's degree (120 ECTS points) in bioinformatics or a similar degree with an academic level equivalent to a two-year master's degree.

Please submit your online application no later than 29 May 2019 (local time).

For detail click here


International PhD program in protein biotechnology

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: July 3rd, 2019

For detail click here


Posted on May 17, 2019

PhD position in pancreatic cancer bioinformatics

Department of Biology, Faculty of Science at University of Copenhagen is offering 1 PhD scholarships in Marie Skłodowska-Curie Actions Innovative Training Networks on pH and Ion Transport in Pancreatic Cancer (pHIoniC) from October 2019. This pHIonic training network is financed by the European Commission Horizon 2020. The project is a collaboration between 10 academic and 3 industrial partners from 7 European countries. The consortium brings together highly synergistic expertise in the field of ion transport and cancer research.

The specific PhD project will be within Prof Sandelin’s group at the Bioinformatics Centre at University of Copenhagen. The group is a world leader in medical transcriptomics and gene regulation biology. Examples of our work include promoter-based classification of inflammatory bowel disease (Nat Commun. 2018 9(1):1661), enhancer transcription (Science 2015 347(6225):1010-4) and the creation of enhancer atlases across human cell types (Nature. 2014 507(7493):455-461)

Applicants should hold, or be close to completing, an MSc in Bioinformatics or related fields. In particular, we require that candidates can program in a script language (e.g. Python) and R, and have experience in analysing high-throughput sequencing data in R and unix systems. Knowledge of statistics, cancer biology and genetics are considered great advantages. Excellent command of spoken and written English is required. 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 June 2019, 23:59 GMT +1.

For details click here


Doctoral Researcher in Bioinformatics

The Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute – (Leibniz-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 (f/div/m) 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 August 2019 or soon after for three years.

The Systems Biology & Bioinformatics (SBI) group of the Leibniz-HKI in 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. The successful candidate is expected to interact closely with wet-lab scientists for discovering new molecular mechanisms of 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

Job Advertisement HKI-09/2019

Complete applications in English consisting a letter of interest, CV, complete list of publications, brief statement of research experiences, a list of three potential references, and full academic record (copies of degree certificates) should be submitted by June 30, 2019 via the online application system.

For details click here


Posted on May 15, 2019

TWO PHD POSITIONS: COMPUTATIONAL/DEEP LEARNING IN NEUROONCOLOGY

We are looking for enthusiastic and highly motivated applicants holding, or about to obtain, a Master degree in Bioinformatics, Medical Informatics or similar. The candidates should have strong expertise in R, Python, Shell and Unix operating systems. Experience in Docker and Machine Learning / Deep Learning is helpful. Preference will be given to applicants with previous experience in one or more of the following areas: analysis of MethylationEPIC array, gene expression array, RNA-seq, integrative quantitative and post-quantitative analyses from multiple omics datasets, image analysis of histological data.

Our international team offers an open, supportive, dynamic and motivating academic environment with excellent training opportunities including the PhD graduate program of the International Giessen Graduate school for Life Sciences (GGL http://www.uni-giessen.de/cms/fbz/zentren/ggl) with the possibility to work on cutting edge research projects. We have won a number of external research grants and are involved in several national and international collaborative projects.

Please send your application as a single PDF: cover letter, your CV, certificates of your qualifications, your publication list and the contact details of at least two referees until 15.07.2019 to PD Dr. Attila Németh (Attila.Nemeth at patho.med.uni-giessen.de). Applicants with disabilities but otherwise equal qualifications will be preferred.

For detail click here


Doctoral (PhD) student position in Top-Down Mass Spectrometry of Proteins

A doctoral student is admitted to third-cycle/doctoral education. A doctoral education consists of supervised research, combined with courses and other educational activities. An individual study plan is established for each doctoral student. For a doctoral degree, the equivalent of four years of full-time doctoral education is required.

The doctoral student project and the duties of the doctoral student The successful candidate will work in collaboration with other members of the research group to develop new top-down protein analysis techniques based on novel fragmentation reactions in the gas phase and study the structure and properties of proteins and their complexes, including antibodies. The project involves participation in building a new TopSpec apparatus for top-down mass spectrometry, performing experiments, data analysis and building physico-chemical theoretical models of the concerned processes.

Eligibility requirements for doctoral education
In order to participate in the selection for a doctoral position, you must meet the following general (A) and specific (B) eligibility requirements at latest by the application deadline.

ou meet the general eligibility requirement for doctoral/third-cycle/PhD education if you:

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

Reference number 2-2875/2019

Last application date 03.Jun.2019 11:59 PM CET

For detail click here


Posted on April 17, 2019

PhD position in neuroscience/bioinformatics

Synapses are the computational units of the brain and synaptic dysregulation is central to many brain disorders (‘synaptopathies’). However, systematic annotation of synaptic genes is currently lacking. Together with the Broad Institute in Boston, the CNCR has recently established SynGO (www.cncr.nl/projects/syngo), an international consortium of 20 expert labs worldwide that produced >1100 expert-curated annotations of synaptic genes. This project aims to utilize the valuable SynGO resource for structural, functional and evolutionary analyses of synapse data.

Job description
As a potential PhD student your main tasks and responsibilities are:

  • Development of additional data analysis tools for the SynGO online web portal
  • Structural, functional and evolutionary analyses of synapse data in SynGO
  • SynGO database expansion, guidance of expansion by researchers in the field
  • Publish analyses in the best peer-reviewed journals and provide progress reports to funding sources
  • Requirements We are looking for a junior scientist with the following qualifications. a master degree in biomedical sciences with neuroscience specialization
  • hands-on experience with bioinformatics (preferably R). Web design experience is an advantage
  • excellent organizing skills (communication with SynGO consortium partners)
  • a strong motivation to pursue a career in science

Are you interested in this position? Please apply via the application button and upload your curriculum vitae and cover letter before 01/05/2019.

For detail click here


PhD Position F/M PhD position on Manifold learning for structural bioinformatics

Grenoble Rhône-Alpes Research Center groups together a few less than 800 people in 35 research teams and 9 research support departments. Staff is localized on 5 campuses in Grenoble and Lyon, in close collaboration with labs, research and higher education institutions in Grenoble and Lyon, but also with the economic players in these areas. Present in the fields of software, high-performance computing, Internet of things, image and data, but also simulation in oceanography and biology, it participates at the best level of international scientific achievements and collaborations in both Europe and the rest of the world.

We are looking for creative, passionate and hard-working individuals from applied math / computer science background with exceptional talent for computer science and mathematics and interest in computational chemistry / biophysics. Good knowledge of C++ / signal processing / machine learning / orthogonal polynomials / structural chemistry will be an asset. Excellent oral, written and interpersonal communication skills are essential (working language will be English – knowledge of French is a plus).

Deadline to apply : 2019-04-28

For detail click here


Posted on April 15, 2019

PhD student with strong interest in metagenomics for diagnosis of swine viral diseases

Veterinarians and medical doctors are currently hampered when they face infectious diseases. They should be able to ask the simple question: “What is in this sample?”, without prior knowledge. In swine, respiratory and enteric diseases are caused by complexes of different viruses and bacteria and we currently lack understanding of the importance of certain pathogens in the disease complex. A viral metagenomics nanopore sequencing (MinION) platform was recently implemented at the Laboratory of Virology of the Faculty of Veterinary Medicine and is being validated as a diagnostic tool for viral disease complexes in swine (Theuns et al., 2018, Scientific Reports). As PhD student you will take the lead in developing new and improved protocols for viral sequencing on the nanopore platform and will perform bioinformatics analyses. Spiking experiments, well-defined field samples and clinical samples will be continuously available to achieve this goal. Internal & process controls will be setup in preparation of diagnostics to serve veterinarians in the field.

Profile of the candidate:

  • Master’s degree in Bioscience Engineering (Cell and Gene Biotechnology) (last year students are encouraged to apply)
  • Motivated to obtain a PhD in Veterinary Sciences
  • Willing to apply for a VLAIO Baekeland bursary in 2020
  • Entrepreneurial, proactive mindset & high level of independence
  • Strong communication skills
  • Strong interest in infectious diseases
  • Experience with next- or third-generation sequencing is an asset
  • Experience with/motivation to learn bioinformatics is an asset

Send your motivation letter and curriculum vitae to Dr. Sebastiaan Theuns (sebastiaan.theuns@ugent.be) and Prof. Dr. Hans Nauwynck (hans.nauwynck@ugent.be) before 31st of May 2019

For detail click here


PhD position in Medical mass spectrometry

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 44.000 students, 7.100 employees and a turnover of SEK 7 billion. Department of Pharmaceutical Biosciences has 140 employees and a number of visiting researchers and fellow students. The department has twelve research groups with a common administration and we are doing research and teaching in pharmaceutical cell biology / biochemistry, pharmacology, pharmaceutical and drug addiction, pharmacotherapy, pharmacokinetics, pharmacometry, clinical pharmacy, bioinformatics, imaging mass spectrometry, molecular neuropharmacology, immunology, biological drugs / biotechnology as well as toxicology and drug safety.

You are expected to conduct advanced research within medical mass spectrometry, by construction of novel interfaces that enable studies of ligand–receptor interactions, both with quantitative and qualitative analysis. You will work with biological cells for overexpression of target membrane proteins such as G-protein coupled receptors and ion channels. This is an important part of the project to increase our knowledge about the structure–function relationship of these receptors. Instrumentally the project will be conducted on nanoLC/CE-ESI-MS in combination with molecular labeling such as HDX.

Requirements: Suitable background is a degree from the program in chemistry or biology, engineering program in chemistry or biotechnology, pharmacist or other similar training (at least 240 credits).

Last application date 03.May.2019 11:59 PM CET

For detail click here


Posted on April 12, 2019

PhD position in bioinformatics - Computational Systems Biology

There is a vacancy for a PhD position in Computational Systems Biology at the Department of Informatics. The position is for a fixed-term period of 3 years with the possibility of a 4th year. The position is financed by Trond Mohn Foundation. The Department of informatics has seven research groups that deliver research and education at a high international level in algorithms, bioinformatics, information security, machine learning, optimization, programming theory, and visualization. All the groups are successfully co-funded by research grants, among others by the European Research Council (ERC). The department offers state of art education at Bachelor, Master and PhD levels.

Qualifications and personal qualities:

  • Applicants must hold a master's degree or an equivalent degree in Bioinformatics, Physics, Mathematics or a related field, or must have submitted his/her master's thesis for assessment prior to the application deadline. It is a condition of employment that the master's degree has been awarded.
  • Applicants must be able to work independently and in a structured manner, and demonstrate good collaborative skills.
  • Applicants must be proficient in both written and oral English.
  • Personal and relational qualities will be emphasized. Ambitions and potential will also count when evaluating the candidates.

Special requirements for the position

  • Experience of working in a numerical computing environment (Python, R, Matlab) is a requirement.
  • Experience of programming in at least one programming language (C, C++, Java) is a requirement.
  • Experience with the modelling of dynamical systems in terms of differential equations is a requirement.
  • Background knowledge in biology or medicine is an advantage.

Deadline 30.04.2019

Jobbnorge ID 168567

For detail click here


PhD Scholarships in Biomedical Research

The University of Queensland Diamantina Institute (UQDI) was established in 2007 and forms a major research centre within the Faculty of Medicine. The aim of the Institute is to develop a better understanding of the molecular and cellular basis of disease, and to translate that understanding into practical outcomes for patients. Based at the Translational Research Institute (TRI) at the Princess Alexandra Hospital teaching campus in Brisbane, the Institute has more than 300 researchers and students who work closely with clinicians in the areas of cancer, immunology and genomic medicine.

Undertaking your Doctor of Philosophy (PhD) degree at UQDI will provide you with the foundations for a career in biomedical research. You will be mentored by world leading researchers, and you will have the opportunity to translate your discoveries into new treatments for patients.

Expressions of Interest are invited from outstanding and enthusiastic, international and domestic, science or medical graduates ideally with a background in either biomedicine, genomics, bioinformatics, computational biology or any other relevant scientific discipline. Candidates will have a first-class Honours degree, a research masters degree, a coursework masters with a relevant research component, or equivalent degree, and should be eligible for UQ scholarship consideration. Applicants must fulfil the PhD admission criteria for the University of Queensland, including meeting English language requirements, and demonstrating excellent capacity and potential for research. Demonstrated research capacity (research outputs such as publications or conference presentations) will be highly regarded.

Applications close: 08 May 2019 (11:55 PM) E. Australia Standard Time

For detail click here


Posted on April 10, 2019

PhD positions (f/m/d) in Cancer Biology / Immunology and Bioinformatics

The Klinikum rechts der Isar university hospital of the Technical University of Munich is a major European center of medical care and education and teaching with 1.161 beds and around 5.500 employees. Every year around 60,000 patients benefit from inpatient and around 250.000 patients from outpatient care. The hospital is a supra-maximal care home that covers the entire spectrum of modern medicine. Since 2003, the Klinikum rechts der Isar is an institute of public law of the Free State of Bavaria.

We are deploying genetic models and bioinformatics to study molecular, immunological and translational aspects of pancreatic cancer. One focus in the past few years was the development of novel preclinical models and organoid-based orthotopic transplantation strategies to mechanistically analyze subtypes of pancreatic cancer.

What you can expect:

  • We are a young and enthusiastic team and offer intensive training and mentoring.
  • The successful candidates will have the opportunity to learn a wide spectrum of genetic, molecular and cell biology, biochemical as well as immunological and bioinformatics techniques.

Your profile and desired skills

  • We are looking for self-motivated bright individuals with a Diploma or Masters Degree in bioinformatics, biochemistry, biology, molecular/translational medicine or related subjects.
  • Previous exposure to and experience with basic biochemical and molecular biology techniques, proteomics or bioinformatics as well interests in molecular aspects of cancer research is essential.

For detail click here


 Ph.D. Student Position software development, bioinformatics, molecular simulations and modeling

The project “A coarse-grained method for RNA 3D structure modeling, with emphasis on non-canonical base pairing" (PI: dr. Michal Boniecki) is carried out as the OPUS 2016/23/B/ST6/03433 grant of the Polish National Science Center. The PhD student will be selected from candidates in an open competition, according to the procedure complying the rules for granting scholarships for young scientists in research projects funded by the National Science Centre (NCN Council Resolution No. 96/2016 dated. October 27, 2016 r.). The goal of the project is to further develop SimRNA, which is now one of the best methods for 3D RNA structure prediction and simulations, in the field. We intend to improve the prediction of non-canonical base-pairs, and to improve the overall specificity. Additional tasks include RNA 3D structure prediction with additional restraints and setting up a web server. We provide opportunities for interdisciplinary collaborations within the team, in the institute, as well as with international partners.

Required for this position:
  • M.Sc. (or equivalent) in computer science, physics, molecular biology, chemistry or related area (defended before the start of the work on the project)
  • Basic knowledge in the fields of physics, mathematics, computer science
  • Understanding the basic concepts of physics, including interaction, dynamics, thermodynamics
  • Understanding issues of 3D geometry, derivation of statistical potentials, running simulations, working in Linux
  • Eligibility for PhD studies in Poland
  • Documented experience in programming/designing in C/C++ and/or Python
  • Proactive approach to achieving tasks and objectives, good interpersonal skills, collaborative attitude
  • Experience in bioinformatics, molecular modeling etc. is advantageous, but not essential.

Deadline for applications is April 22th, 2019. Preferred job starting date: no later than June 1st, 2019.

For detail click here


Posted on April 08, 2019

PhD fellowship in Mass spectrometry imaging of plant metabolites

Department of Pharmacy is offering a three-year PhD fellowship in Mass spectrometry imaging of plant metabolites. The PhD fellowship is financed by the EU Horizon 2020 - Research and Innovation Framework Programme. The fellowship is available from June 1st 2019 or as soon as possible thereafter.

The Ph.D. project is part of a larger research project which aims to implement biosynthesis of important precursors for commercial drug substances into yeast cells. The drug substance precursors are currently produced in plants at relatively low yield, and the aim of the Ph.D. project is to characterize the plant biosynthesis of the compounds in great detail. This will be done by mass spectrometry imaging by DESI and MALDI of several different alkaloids in different plant samples. The knowledge obtained in these experiments will be used to assess which segments of the biosynthesis to focus on in yeast refactoring.

Required qualifications  
As an applicant you must have:
  • Obtained a Master´s degree in chemistry, pharmacy, plant biology or related areas prior to the starting date
  • Fluency in English and excellent communication skills
Preferred qualifications 
  • Practical experience with mass spectrometry, e.g. LC-MS or preferably mass spectrometry imaging will be considered a great advantage.
  • Knowledge of biosynthesis of natural products in plants will be considered an advantage.
Job description 
Your key tasks as a PhD fellow at the Faculty are to:
  • Carry through an independent research project under supervision
  • Write scientific articles and the PhD thesis on the grounds of your research project
  • Complete PhD courses or other equivalent education corresponding to approx. 30 ECTS points
  • Obtain experience with teaching or other types of dissemination related to your PhD project
  • Participate in the undergraduate teaching of students in pharmaceutical sciences

The deadline for applications is 7 April 2019

For detail click here


PhD Position in Arbovirology

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 44.000 students, 7.100 employees and a turnover of SEK 7 billion. The Department of Medical Biochemistry and Microbiology (IMBIM) at Uppsala University constitutes a broad and international research and teaching environment with over 250 scientists, including over 40 PhD students. Research activities within the department focus on three principal domains: Biochemistry & Molecular Cell Biology, Genomics, and Microbiology & Immunology.

Qualifications: Candidates should hold a M.Sc. degree or equivalent, with a focus on ecology, infection biology, microbiology or bioinformatics is a requirement. We are looking for a candidate with solid basic biological/ecological knowledge and preferably laboratory experience in microbiology. Good knowledge of statistics is appreciated. The candidate is expected to take own initiatives as well as to collaborate with national and international colleagues both within and outside of the group. Good ability to master English in written and oral form is a requirement. Significant weight will be given to personal suitability.

Please submit your application by April 26, 2019, UFV-PA 2019/1189.

For detail click here


Posted on April 05, 2019

PhD Studentship: Computational Biology

Due to recent advances in sequencing technologies, we can generate unprecedented amounts of genomic data, but clinical interpretation of that data has lagged behind, and is one of the major challenges in healthcare at present. For patients with rare disorders, even after whole genome sequencing, generally half of patients do not get a molecular diagnosis. With estimates that up to 50% of disease causing mutations affect splicing, gaining a better understanding of how splicing operates under normal conditions, as well as the types of mutations that can perturb the process has huge potential for immediate impact.

This project will help establish what the “best practices” are for interpreting mutations affecting splicing, and how this can be applied in a clinical setting. Optimal in silico methodologies will be developed and applied to genetic data from patients with rare diseases in the 100,000 genomes project to help improve diagnostic rates. Machine learning techniques will be applied to large genomic and transcriptomic datasets to “learn” the genetic code determining normal and disease causing aberrant splicing.

The student will work in a cross-disciplinary, highly collaborative and supportive environment with wet lab scientists, computational biologists, clinicians and computer scientists. They will learn computational approaches to biological problem solving (including bioinformatics, DNA and RNA sequencing data analysis methods, and machine learning), as well as developing a firm understanding of splicing, clinical informatics, and medical genetics. Dependent on experience, the student will be supported to attend any relevant training courses and present at conferences useful to themselves and the project. The ideal candidate will have a strong background in genetics, bioinformatics, computer science, or a related field, and have a strong interest in the other disciplines.

For detail click here


PhD candidate in Computational network biology

The Institute of Network Biology – INET – is a leading institution in protein-interaction network analysis. A deep understanding of principles and specifics of protein interaction network function, and how perturbations by microbes and evolutionary processes result in altered phenotypes, are the key aspects guiding our research agenda. The understanding of molecular networks and their dynamics by natural perturbations will facilitate their targeted modulation for applications in medicine and bio economy. The Institute is based on an interdisciplinary approach that combines experimental high-throughput protein-interaction mapping and mechanistic studies with computational analyses ranging from graph theory and statistics, machine learning, phylogenetic analyses to quantitative modeling.

Your Qualifications

  • A background in bioinformatics, systems or network biology, complex systems or comparable is expected.
  • Candidates should be interested to bio-computational analyze protein interaction networks on a systematical level.
  • Familiarity with biological data bases and scripting languages as well as the command of programming languages (Python, C, C++ or Java) is required.
  • Candidates should be conceptually familiar with high throughput settings and analyzing of high throughput data in a systems biology context.
  • Excellent oral and written communication skills as well as the ability to collaborate effectively with a diverse multidisciplinary and multicultural team are necessary.
  • A proactive and independent thinking personality devoted to science and motivated to search for innovative research solutions would fit into our research team.

We are looking forward to receiving your comprehensive online application (including CV, letter of motivation, publication list, transcripts of degrees, references and other relevant information) until 07.04.2019.

For detail click here


Posted on April 03, 2019

PhD student computational cancer genomics

We are looking for a motivated and ambitious PhD student to work on a project entitled “Immunoediting and immune evasion mechanisms in the treated and untreated cancer genome”, under the supervision of prof. Jimmy Van den Eynden. Using computational approaches and public cancer genome datasets (e.g. from The Cancer Genome Atlas), the aim of this PhD project is to better understand how the evolving cancer genome is shaped by interactions with the immune system. Genomic alterations will be identified in relation to different types of infiltrating immune cells (e.g. T cells, natural killer cells, …), in both the untreated cancer genome and following treatment with immunomodulating agents.

Results of this project can be exploited to predict differential responses to cancer immunotherapy. The selected candidate will analyse large (cancer) genome datasets using a variety of available bio-informatics tools. Programming will be primarily performed in R using Bioconductor packages, with special attention for computational research reproducibility. The selected candidate will be offered a fulltime 4-year PhD position at the unit of Anatomy and Embryology (Dpt. of Human Structure and Repair). He/she will be encouraged and supported to apply for additional external funding.

Profile of the candidate

  • Applicants should hold a MSc degree in bio-informatics, biological disciplines (e.g. biomedical sciences, medicine, bioengineering science or equivalent) or computer science. Master students that obtain such a degree later this academic year can also apply.
  • Candidates with a biomedical background are expected to demonstrate basic programming experience (e.g. R, Linux bash, Python).
  • Candidates with a computational background should demonstrate basic biology knowledge.
  • Both knowledge of cancer biology/genomics and experience with R and Bioconductor are considered important assets.
  • Excellent written and oral English communication skills are required.
  • Applicants should be able to work in team as well as independently and have a critical and creative mindset.

Last application date Jun 30, 2019 23:59

For detail click here


Multiple PhD positions in Life sciences/ Bioinformatics

The laboratories of Prof. Dr. Oliver Schilling and Dr. Peter Bronsert at the Institute of Surgical Pathology, University Medical Center Freiburg, Germany are seeking applications for Multiple PhD students (in the following topics: Proteome Biology of Solid Tumors; Proteome Biology of Cardiac Remodelling; Liquid Biopsy Biobanking and Proteome Profiling; Proteomics Informatics and Software Development)

The positions are funded by the ERA PerMed scheme or by intramural sources. The Schilling laboratory focuses on translational and biomedical proteomics. We combine explorative, targeted, and spatially resolved mass spectrometry based proteomics with bioinformatic tools. In addition, we pursue in vitro functional studies to mechanistically underpin our proteomic findings. Based on a number of recently developed and funded projects, we now have multiple PhD positions available in any of the following areas: proteome biology of solid tumors; proteome biology of cardiac remodelling; liquid biopsy biobanking and proteome profiling; proteomics informatics and software development.

The ideal candidate should have:

  • a life sciences degree (e.g. biology, biochemistry, molecular medicine, pharmacology) or a degree in bioinformatics or computer science
  • very good scientific writing skills and fluency (both oral and written) in English
  • a great, pro-active and open-minded work attitude, a strong interest in translational research, and very * good problem-solving skills

For detail click here


Posted on April 01, 2019

PhD student position for a Biostatistician/Molecular Biologist

Erythrocyte invasion is a complex process involving multiple interactions between Plasmodium merozoites and host erythrocytes. Unlike P. falciparum, which can use multiple erythrocyte receptors for invasion and has merozoite proteins with overlapping and redundant receptor-binding functions, invasion of human erythrocytes by P. vivax merozoites primarily relies on the interaction between the P. vivax Duffy Binding Protein (PvDBP) and the erythrocyte Duffy antigen receptor for chemokines (DARC). Consequently, PvDBP is considered a promising candidate for a P. vivax malaria vaccine.

The PhD student will be strongly involved in the first part of the project. Our objective is to explore the natural variation of the reticulocyte invasion protein repertoire. To this end, we will compare the characteristics of the genes/alleles (single nucleotide polymorphisms (SNPs) and copy number variations (CNVs)) encoding proteins involved in invasion pathways in P. vivax isolates collected from Duffy-negative and Duffy-positive patients. We will search for enrichment of specific traits in genes encoding invasion-related proteins in P. vivax strains isolated from Duffy-negative reticuloctyes.

Your skills

– M2 in bioinformatics, or in molecular biology with bioinformatics skills

– Ability to work in a team and on own initiative

– Excellent leadership and communication skills in English

– Have an analytical approach to problem solving.

For detail click here


PhD student in pharmaceutical sciences within Molecular Pharmaceutics

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 44.000 students, 7.100 employees and a turnover of SEK 7 billion.

The PhD student will linked to the Drug Delivery Research group. The research group provides a strong international research environment and has about 40 members of which 10 are PhD students, 10 are postdocs and 15 are researchers and professors. The group takes a multidisciplinary approach and combines bioinformatics and computational chemistry with cell- and molecular biology, biopharmaceutics, pharmaceutics and physical chemistry to find new ways to predict and define rate-limiting barriers to the absorption and organ distribution of different types of drugs.

Requirements:

An MSc degree in a relevant field is required. The ideal candidate is highly motivated, organized, reliable team player that can also work independently and has thorough education and strong interest in the research field.  Candidates must be fluent in English.

Additional qualifications:

Previous experience with experimental setups, the wet-lab, bioinformatics and computer modelling are beneficial.

The successful candidate will devote most of the time towards his/her research level education. Other service activities within the department, e.g. teaching and laboratory maintenance are included within the framework of the education.

For detail click here


Posted on March 29, 2019

PhD scholarship in wheat genomics and statistical modeling

The Faculty of Biosciences at the Norwegian University of Life Sciences (NMBU) has a vacant 3-year PhD–position related to genomic selection for disease resistance in wheat. The aim of the PhD project is to develop genomic selection strategies for disease resistance in wheat, with focus on stripe rust and fusarium head blight resistance as case studies. The position is part of the recently funded SusCrop ERA-NET project “Knowledge-driven genomic predictions for sustainable disease resistance in wheat” (WheatSustain). It is a collaborative research project with partners from Austria, Germany, Ireland, Norway, Canada, Mexico and USA. National and international travels will be expected of the Ph.D. candidate.

Qualifications and skills
The successful applicant must meet the conditions defined for admission to a PhD programme at NMBU. The applicant must have an academically relevant education corresponding to a five-year Norwegian degree programme, where 120 credits are at master's degree level. The applicant must have a documented strong academic background from previous studies, and be able to document proficiency in both written and oral English.

Required academic qualifications

  • MSc degree in plant breeding, molecular genetics, bioinformatics, statistical genomics or related fields that are relevant for the research project.
  • Good scientific writing skills.

Desired academic qualifications

  • Experience with genomic prediction modeling, computer simulation, or statistical data analysis.
  • Familiarity with machine learning methods.
  • Some basic knowledge of plant science and plant pathology

Application deadline: April 17th 2019

For detail click here


PhD position at The Department of Molecular Biology

We are looking for a PhD student in Molecular biology, with a focus on molecular microbiology. The position is at the Department of Molecular Biology at Umeå University and is temporary for four years to start in May or as agreed. The PhD student will participate in activities provided by the Department of Molecular Biology, the Laboratory for Molecular Infection Medicine Sweden (MIMS), Umeå Centre for Microbial Research (UCMR) and the Nordic EMBL Partnership for Molecular Medicine.

Eligibility
To be admitted for studies at third-cycle level the applicant is required to have completed a second-cycle level degree, or completed course requirements of at least 240 ECTS credits, of which at least 60 ECTS credits are at second-cycle level, or have an equivalent education from abroad or equivalent qualifications.

Qualifications
You should be highly motivated and able to work productively in a team as well as independently. Excellent communication skills for interacting effectively with senior colleagues and peers are required. The successful applicant has experience in standard molecular microbiology techniques including DNA cloning and protein purification. Experience in LC-MS is an advantage.

Application deadline: 2019-04-11

For detail click here


Posted on March 27, 2019

International PhD Program "Biozentrum PhD Fellowships" Summer Call 2019

The aim of the fellowships which are sponsored by the Werner Siemens-Foundation and the University of Basel is to select and promote highly talented graduate students in the area of Life Sciences. The fellowships offer direct access to the PhD program of the Biozentrum, University of Basel, additional financial support financial support, a rotation-based selection of the research group, and support for the attendance of scientific meetings and courses during the PhD.

The Biozentrum encourages talented, ambitious and highly motivated young scientists from all over the world to apply for the prestigious and sought after fellowships offered by the Biozentrum Basel International PhD Program. In contrast to many other PhD student programs that aim at a broad recruitment of many candidates, the “Biozentrum PhD Fellowships” are awarded on a competitive basis to a maximum of 10 successful candidates per open call. Recipients are offered a unique rotation-based selection of a research group of choice and a number of other incentives that foster the scientific excellence and the career prospects of these PhD candidates.

We offer prestigious and independent fellowships thatprovide a unique rotation-based selection of research groups. Research and training in the Biozentrum span scales from atom to organism in the areas of:
COMPUTATIONAL & SYSTEMS BIOLOGY
GROWTH & DEVELOPMENT
INFECTION BIOLOGY
NEUROBIOLOGY
STRUCTURAL BIOLOGY & BIOPHYSICS

Application is open until June 15th, 2019. 

For detail click here


PhD Scholarship - Macadamia Genomics

The Queensland Alliance for Agriculture and Food Innovation (QAAFI) is a research institute of the University of Queensland (UQ) which was established in 2010 and comprises of three research centres – the Centre for Plant Science, the Centre for Animal Science, the Centre for Nutrition and Food Sciences.

The National Tree Genomics Program – Genomics Toolbox is a $4.2M project led by QAAFI researchers at the University of Queensland and funded by Horticulture Innovation Australia with collaborative partners from Australian Industry and Universities. This 5 year Research project began in October 2018 and conducts genomics research across crops: Macadamia, Mango, Almond, Citrus and Avocado. The PhD position is available to conduct genomics research in Macadamia in relation to providing the molecular basis of phenotype and gene expression or genetic variation in the genome.

The successful candidate will have a Master’s degree, 1st Class Honours degree, or equivalent in Plant Molecular Biology, Bioinformatics, Genomics fields relevant to the above described projects. We welcome both domestic and international applicants.

Applications close: 07 Apr 2019 (11:55 PM) E. Australia Standard Time

For detail click here


Posted on March 25, 2019

Doctoral Researcher in Metabolomics

The department Chemical Biology of Prof. Dr. Mark Brönstrup at the Helmholtz Centre for Infection Research (HZI) in Braunschweig, Germany is seeking a Doctoral Researcher (f/m/d) in Metabolomics. The strategic aim of our department is to discover and characterize novel antiinfective substances through screening, synthesis and mode of action studies.

The successful candidate will be responsible for characterizing metabolites that mediate interactions in the gut microbiome. In particular, the project includes the exploration of ion mobility-HR-MS in metabolome studies. The goals of the project are to decipher whether and how infection processes within microbial communities and the associated immune responses are mediated by small molecules.

The candidate should be highly motivated, hold a master degree in biochemistry, microbiology or related disciplines and have high-profile publications in peer-reviewed journals. Solid knowledge in modern bioanalytical methods, in particular in mass spectrometry, metabolomics, microbiology and/or data analysis is important. Additionally, experience in biochemistry and bioinformatics will be considered an advantage.

Closing date: 14.04.2019

For detail click here


Open PhD Position – Translational Immunology

Seasonal influenza is responsible for hundred housands of deaths and hospitalizations each year worldwide. Vaccines are available, but their efficacy is considerably lower compared to vaccines against other infectious agents. Viral mutations ('antigenic drift') are a major cause of poor vaccine efficacy. Such mutations can result from immune selection pressure or during vaccine development. We aim to investigate how repeated exposure to identical antigen likely contribute to immune escape of the pathogen in humans. We study this in a prospective influenza vaccination cohort using immunophenotyping, immune repertoire analysis, and through collaborations systems approaches.

Your position

  • You will harness human vaccination cohorts to study the effect of repetitive vaccination on immune escape and the immune response
  • You will study the cellular and humoral immune response to the vaccine
  • You will design and engineer viruses representing vaccine and circulating variants
  • You will examine the relevance of glycan-binding antibodies in anti-influenza immunity
  • You will investigate viral immune escape with e.g. Luminex assays, hemagglutination inhibition etc...
  • You will establish an in vitro infection assay to study immune selection

Your profile

  • Master's degree in Biology, Biochemistry, Biotechnology or a related field
  • Interest in human immunology and virology
  • Broad experience with molecular biology techniques
  • Knowledge in handling bioinformatics tools
  • Ability to work independently as well as in a small team
  • Fluency in English

For detail click here


Posted on March 22, 2019

PhD student on complex genetics and artificial intelligence

As a bioinformatician (or prospective cardiologist) you want to matter. You really want to make a difference in the lives of people with a cardiovascular condition. Now and in the future. That is why you consciously choose to work as a bioinformatician in the Department of Cardiology of the UMCG, a dynamic department where research and clinical practice are intertwined. We translate problems that we experience in clinical practice into scientific research. We improve patient care with the results of our scientific research. We believe that providing talent room to develop, a solution can ultimately be found for every cardiovascular condition. As a bioinformatician (and / or PhD student), UMCG Cardiology therefore offers you plenty of opportunities to follow your interests and give your talent space.

As a bioinformatician, you join the successful research line in ischemic heart disease and work on big data under the supervision of international experts in this field. The data includes large genetic data sets (including sequencing data) of >500,000 people and very large imaging (CT, MRI) data sets of >30,000 people. You work together as a team with other disciplines (including cardiologists, radiologists, epidemiologists and pharmacologists). The international network of the Department of Cardiology, UMCG allows you to collaborate with researchers from all over the world and international working visits and conferences are a logical derivative of this.

What do we need

  • You have completed an MSc on IT/bioinformatics.
  • You are interested and / or have experience with statistics and deep learning.
  • You are interested and / or have experience with genetic data.
  • You preferably have research experience, but this is not absolutely necessary.
  • You have excellent communication skills.
  • Team spirit, but also being able to work independently are essential.

Apply no later than 05 May 2019

For detail click here


PhD position in ribonomics based on CRISPR technology in plants

This project aims to develop a method to isolate RNA-binding proteins bound to a specific circadian transcript by in vivo UV cross-linking of RNA-protein complexes, RNA pull-down via specific antisense oligonucleotides and identification of bound proteins by mass spectrometry. The project will identify novel RBPs regulating circadian stress-responsive transcripts and shed light on this largely unexplored layer of post-transcriptional gene regulation.

Applications including CV, research interest and contact information of references (single pdf) should please be sent to: Prof. Dr. Dorothee Staiger (dorothee.staiger@uni-bielefeld.de).

For detail click here


Posted on March 20, 2019

PhD student in  Bioinformatics

Erasmus MC stands for a healthy population and excellence in healthcare. By conducting groundbreaking work, we aim to push boundaries through leading the way in research, education and healthcare. We have access to the latest equipment and techniques in a state-of-the-art environment.

The genome is continuously damaged by endogenous metabolic byproducts, which drive genome stability, carcinogenesis and aging. Fortunately, cells possess several DNA repair systems to repair the damage. The importance of DNA damage prevention for aging is substantiated by specific DNA repair deficient mouse models, which cannot repair damage in transcribed DNA strands, that display premature aging and many age-related pathologies, including neurodegeneration and cognitive decline. Importantly, dietary restriction greatly improves health and lifespan of these mice. In the context of the ZonMW Memorabel project “nutritional prevention of dementia”, we have an open position for a PhD student or postdoc bioinformatics / computational biology.

The highly motivated and successful candidate must have a MSc or PhD degree in a relevant discipline (Bioinformatics, Computational Biology, Statistics, Computer Science) and proficient in “R” and/ or other languages such as Python. The candidate should be able to analyze next generation sequencing data with profound understanding of mathematical and statistical approaches. Experience with the basal transcription process, DNA damage responses and/or aging will be considered an advantage. The candidate should be able to independently design, conduct and evaluate research projects, have outstanding theoretical and experimental research skills, is well-organized and result-driven with a strong team spirit. Furthermore, a strong command of (scientific) English in speech and writing is essential.

Application deadline 03-04-2019

For detail click here


PhD position: Next generation mucosal vaccines

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. We are looking for an outstanding student with a microbiology, molecular biology, glycobiology or bioinformatics background to join an exciting project developing next generation mucosal vaccines.

Virus-like particles have proved highly effective for vaccination against a broad range of targets. Novel glycoengineering techniques now make it possible to assemble microbial glycans on virus-like particles. Owing to hugely increased production efficiency over classical glycoconjugate vaccines, these are cheap enough to be applied to livestock and can be produced in sufficient quantities for mucosal vaccination. Your first aim will be to study the effect of antibodies induced by these vaccines on pathogen evolution (largely focusing on E. coli). This will include mouse- and pig-infection models, next-generation sequencing, and molecular characterization of bacterial glycans.

A strong background in microbiology, microbial ecology and evolution, synthetic biology and/or bioinformatics will be highly advantageous in this project. Excellent students interested in moving into this field from immunology, biochemistry, biophysics or related disciplines will also be considered.

For detail click here


Posted on March 18, 2019

PhD candidate in computational network biology

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.

The Institute of Network Biology – INET – is a leading institution in protein-interaction network analysis. A deep understanding of principles and specifics of protein interaction network function, and how perturbations by microbes and evolutionary processes result in altered phenotypes, are the key aspects guiding our research agenda. The understanding of molecular networks and their dynamics by natural perturbations will facilitate their targeted modulation for applications in medicine and bio economy. The Institute is based on an interdisciplinary approach that combines experimental high-throughput protein-interaction mapping and mechanistic studies with computational analyses ranging from graph theory and statistics, machine learning, phylogenetic analyses to quantitative modeling.

Your Qualifications

  • A background in bioinformatics, systems or network biology, complex systems or comparable is expected.
  • Candidates should be interested to bio-computational analyze protein interaction networks on a systematical level.
  • Familiarity with biological data bases and scripting languages as well as the command of programming languages (Python, C, C++ or Java) is required.
  • Candidates should be conceptually familiar with high throughput settings and analyzing of high throughput data in a systems biology context.
  • Excellent oral and written communication skills as well as the ability to collaborate effectively with a diverse multidisciplinary and multicultural team are necessary.

For detail click here


PhD Student - Immunology

The Heinrich Pette Institute - Leibniz Institute for Experimental Virology (HPI), is committed to research on the biology of different human viruses and pathogenesis of viral diseases (http://www.hpi-hamburg.de). The HPI offers the opportunity to perform cutting-edge research in a world-class research environment with excellent technical and animal facilities.

We are looking for a highly motivated, team-oriented student with a diploma/master degree (or equivalent), experience in at least one of the necessary disciplines and techniques thereof (molecular biology, immunology or virology). Experience in immunology and/or multiparameter flow cytometry would be welcome.

Our position is to be filled for up to three years in the “Virus Immunology” group (head: Prof. Marcus Altfeld) with the possibility of extension. Payment and social benefits will be in accordance with the regulations of the German TV-AVH (salary agreement for public service employees).

Please send your application by March 31st, 2019.

For detail click here


Posted on March 15, 2019

EMBL International PhD Programme 2019

The EMBL International PhD Programme, originally established in 1983, represents the flagship of EMBL's commitment to first class training and education. Internationality, dedicated mentoring and early independence in research characterise our programme. Considered to be one of the most competitive PhD training schemes to enter, we are committed to providing EMBL PhD students with the best starting platform for a successful career in science.

Research Topics:

Cell Signalling and Differentiation
Cellular Organisation and Dynamics
Evolution
Gene Regulation, Chromatin and Epigenetics
Genetics and Genomics
Metabolism and Metabolomics
Microbiology and Virology
Molecular Medicine and Disease Mechanisms
Neurobiology
Protein and Proteomics
RNA Regulation and Transcriptomics
Tissue and Systems Biology
Bioinformatics and Software Development
Chemistry and Chemical Biology
Computational Modelling
Imaging, Microscopy and Image Analysis
Integrated Structural Biology
Microfluidics
Robotics and Automation

Registration deadline 25 March 2019

For detail click here


PhD studentship : Biological / Biomedical Sciences

An industry-co-funded PhD studentship opportunity, located in the Faculty of Health and Applied Sciences at UWE Bristol, is available with a living stipend and tuition fees at Home/ EU rates.

The project will be focused on the analysis of volatile markers from the mouth of patients with Type 2 diabetes. Diabetes is one of the most common chronic diseases worldwide and it is now an increasing health issue in the developing world. In West Africa (excluding the sub Saharan northern part) 16 million people have been diagnosed with Type 2 diabetes. This part of Africa will see the largest increase in diabetes in the world in the next 20 years.

Essential criteria:

  • A minimum of a good honours degree (minimum of upper second class honours degree) in a relevant scientific discipline (e.g. Biological or Biomedical Sciences with substantial microbiology training.)
  • A recognised English language qualification is required.

The closing date for applications is Tuesday 16 April 2019.

For detail click here


Posted on March 13, 2019

PhD fellowship in Computational Biology at BRIC

Research in the Helin lab is focused on identifying novel mechanisms and genes involved in the development of human cancer. The lab has made several outstanding contributions to the fields of epigenetics, stem cells and cancer biology. Current work is focused on understanding the biological function of proteins involved in regulation of histone and DNA methylation and how they contribute to cancer. Moreover, the group has developed several cancer-relevant mouse and cellular models that are used both for the understanding of the role of specific proteins in cancer and for the identification of potential targets for the development of novel anti-cancer therapies.

Project description 
The main aim of this PhD project is to use genomic signatures to predict the response of targeted treatment of different cancer types. The aim can be divided into three sub-projects:
  1. Develop and apply mutational signature-based classifier to identify mutagenic processes in cancer genomes
  2. Identify genetic alterations associated with mutational signatures and the epigenetic role in the location of the signature
  3. Validate and optimise the classifier on a clinical cohort of cancer patients with genome sequencing data

Key criteria for the assessment of applicants
Applicants must have qualifications corresponding to a master’s degree related to the subject area of the project e.g. skills within the fields of computer science and biology including data analysis, quality control, statistics, programming and biological interpretation of data results.

Application deadline: [17/3 2019], 23.59pm CET

For detail click here


PhD Scholarship in Microbial Communication

Two 3-year PhD scholarships are available to study the microbial communication in electroactive microbiota, starting July 1st 2019 or shortly thereafter. The PhD projects will be supervised by Associate Professor Yifeng Zhang and is part of GENECHAT project funded by the Carlsberg Foundation Distinguished Fellowship Programme. The successful candidate will join a young, highly innovative, collaborative, productive, responsible, international, gender-balanced, and multidisciplinary team, which is a part of the Residual Resource Engineering Section at DTU Environment.

Responsibilities and tasks
The PhD projects aim to EXPLORE the between exoelectrogens and neighboring microbes, UNVEIL the underlying mechanisms, and subsequently use the knowledge to MANIPULATE the microbiome on the electrode/minerals for more efficient electron transfer and, finally, to VALIDATE the knowledge with specific microbial electrochemical applications such as inorganic bioartificial photosynthesis.

Qualifications
Candidates should have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree, in biological sciences, microbiology, biology, or any other relevant field. The ideal candidate should have a strong background in laboratory methods including microbiology, molecular biology, genetic engineering, and in computational methods including bioinformatics and modelling. Background in any of these subjects would be useful, but more important are enthusiasm for microbial evolution and ecology, self-motivation, and should thrive in a highly ambitious research group that aims to establish new research fields.

Please submit your online application no later than 1 May 2019 (local time).

For detail click here


Posted on March 11, 2019

PhD  position in Mathematical Evolutionary Biology

The Max Planck Society strives for gender and diversity equality. We welcome applications from all backgrounds. The Max Planck Society is committed to employing more disabled individuals and especially encourages them to apply. The Max Planck Society seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply.

Populations that are threatened by environmental change may escape extinction through adaptive evolution ("evolutionary rescue"). The goal of the project is to develop mathematical models to describe the eco-evolutionary dynamics of rapid adaptation and to determine the probability of evolutionary rescue. Depending on the interests of the students, the models can be situated in an ecological context or in a medical context (evolution of drug resistance, see also below).

The ideal student will be one who is interested in applying mathematical modeling to gain insights into biological problems and is enthusiastic about math as well as about biology. The successful student will learn how to set up and analyse theoretical models to describe biological processes and become skilled in using branching process theory as a modeling tool. Applicants should have a background in mathematics, physics, biology, computer science or a related field. Good quantitative skills are essential. Prior experience in mathematical modeling and knowledge of a programming language (C, C++, Java, R, Python...) is an advantage.

Application deadline is April 7, 2019. However, the position will remain open until filled by a qualified candidate.

For detail click here


PhD fellow in Machine Learning (Computational Biology)

The Department of Computer Science (DIKU), Faculty of Science at the University of Copenhagen is offering a 3-year PhD position starting July 1st, or shortly thereafter. The goal of the project is to develop new Machine Learning methods for predicting mutation-induced changes-in-stability in proteins. The PhD project is funded by the Novo Nordisk Foundation.

The research will be conducted in the group of Wouter Boomsma, which works on the development of methods for analyzing molecular structure, ranging from Monte Carlo simulation techniques to deep learning. The group is located within the Machine Learning Section, which provides a strong, international environment for research within Machine Learning, Natural Language Processing and Information Retrieval.

The applicant should either have a background in Machine Learning or in protein modelling/simulation, and is expected to have significant prior experience with programming (preferably Python). Applicants should hold a MSc degree in computer science, bioinformatics, physics, chemistry, statistics or a closely related field, or be in the final stages of acquiring such a degree. Candidates must have good interpersonal and communication skills. The group is international and fluency in spoken and written English is a requirement. 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 31 March 2019, 23:59 GMT +2.

For detail click here


Posted on March 08, 2019

PhD position in Computational Models of Intestinal Glucose Absorption for Diabetes Prediction

We are currently seeking for candidates to carry a PhD thesis on “Computational Models of Intestinal Glucose Absorption for Diabetes Prediction”. This project consists in developing new computational methods for the prediction of glucose intestinal absorption at the physiological and cellular level in order to improve the understanding of diabetes pathology.

Candidates are thus expected to have a strong background in formal methods (e.g. logic, automata theory, semantics of programming languages, concurrency theory, computer algebra…). The initial step of this project is to design a state of the art model of glucose homeostasis at the physiological level. For this reason, we also expect candidates interested in health science and biology ready to read articles in these domains. Note, however, that prior knowledge in biology is not mandatory to apply to this PhD project.

For detail click here


Doctoral (PhD) student position in skin inflammatory diseases research

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 research focus of the advertised post will be on chemical exposures, and the search for biomarkers using omics approaches for the development of new a diagnostic method for differentiation between allergic and irritant contact dermatitis. The research will include investigation of immune responses in vivo and in vitro, using simple and advanced cell systems, cutting edge methods of molecular biology and imaging, as well as bioinformatics. The task also includes preparation of ethics applications, coordination of patient sampling, and sample logistics. The project is funded by FORTE, and will be conducted in collaboration with the University of Lund, Sweden, the University of Helsinki and the Finnish Institute of Occupational Health in Helsinki, Finland, and Heinrich-Heine University in Dusseldorf, Germany.

We are looking for a highly motivated candidate with a master degree in biomedical sciences, toxicology, or a corresponding, relevant area. Experience in laboratory work, including cell assays and methods of molecular biology (RNA isolation, ELISA, immunohistochemistry), excellent use of standard computer programs, basic knowledge of programming (eg R) and data analysis are highly desirable. Excellent skills in written and spoken English, as well as an ability to interact socially and scientifically with other researchers and students, are essential.

Last application date 28.Mar.2019

For detail click here


Posted on March 06, 2019

PhD Scholarship in Biomedical Imaging Technology- bioinformatics and big data

The Centre for Advanced Imaging (CAI), a strategic initiative of The University of Queensland, is a leading imaging research facility in Australia, and one of a handful in the world. It brings together the skills of a critical mass of researchers and state-of-the-art, world- or Australian-first imaging research instruments including NMR, EPR, MRI, PET, CT, optical imaging and an on-site cyclotron and radiochemistry facilities. CAI hosts the largest Node of the National Imaging Facility (NIF) (http://anif.org.au/). CAI conducts research across the spectrum from development of new imaging technologies, analysis of molecular structure, synthesis of MRI and PET biomarkers targeting fundamental biological processes to studies of major diseases affecting a range of organ systems, through to imaging economically significant agricultural animals and plant material, minerals and construction materials.

The Australian Research Council Training Centre for Innovation in Biomedical Imaging Technology, at the University of Queensland, is looking for high calibre enthusiastic postgraduate students who: have studied Engineering, Physics, Computer science degrees or equivalent; are interested in the Biomedical Imaging Technologies and developing new informatics tools for multimodal imaging and genomic data; want to obtain relevant skills and exposure to industry; want to learn about commercialisation; and, have a desire to be involved in academic, clinical and/or industry focused research.

Applications are invited from outstanding and enthusiastic graduates who have an interest, and preferably a background, in Biomedical Imaging Technology. They should have basic understanding of object orientated coding principles and basis knowledge and experience in a programming language: C++, Matlab, Python or equivalent.

Successful students will have the opportunity to:

  • Learn about the trends occurring in diagnostic imaging in the age of “Personalised Medicine”
  • Learn about the use of Artificial Intelligence concepts such as machine learning and big data analytics in real world problems; and,
  • Undertake internships with our industrial partners.

Applications close: 31 Mar 2019 (11:55 PM) E. Australia Standard Time

For detail click here


PhD position in Quantitative Genomics

A PhD opportunity is available at the Institute of Health and Biomedical Innovation, Queensland University Technology to study the quantitative genetics of complex health traits in the Norfolk Island isolate. Specifically, the project will involve statistical analysis of whole genome sequence data to understand the population genetic architecture of this unique founder population in relation to polygenetic traits that underpin complex disease risk.

The successful applicant will learn a variety of methods involved in disease gene mapping with next generation sequencing data sets, such as association testing of common and rare variants and polygenic marker analysis using machine learning techniques. The scholarship is provided via a grant from the Australian Research Council.

Eligibility
You must have: Meet the PhD admission criteria Received first-class honours (H1) or equivalent Ideally you will also have skills in the use of R programming and the Linux operating system (not necessary but preferred) Applicants should have a keen aptitude and interest in computing and/or biostatistics.

For detail click here


Posted on March 04, 2019

PhD fellowship in human population and quantitative genetics

The Department of Biology, Faculty of Science, at University of Copenhagen invites applications for a PhD student position at the Lundbeck Foundation GeoGenetics Centre in the University of Copenhagen, in the research group of Fernando Racimo, starting on May 1st, 2019. The Racimo group focuses on using ancient and present-day genomes to understand patterns of selection and admixture over time, and to develop methods to jointly analyze population and functional genomic data.

The candidate will be able to work with unprecedentedly large ancient genomic datasets from a period spanning the last 10,000 years of human history, in combination with functional datasets and medical biobanks. The focus of the project will be on integrating ancient genomics with population genetic theory and quantitative genetic resources.

The candidate will have freedom to design their project in consultation with the advisor, and the project can range from theoretical methods development to empirical data analysis. Research topics can include: 1) Utilizing trait-association data from metabolic, neurological and anthropometric studies to learn about the evolution of complex traits in ancient genomes from the Paleolithic, Neolithic, Bronze Age and Iron Age; 2) Developing methods to detect genes under positive selection when working with multiple populations related to each other in complex ways; 3) Searching for functional variants that were positively selected in humans over time during major cultural transitions, like the advent of agriculture; 4) Testing among different models of evolution on trait-associated variants over time.

The candidate will have an MSc degree or equivalent, with a background in one or more of the following areas: evolutionary biology, population genetics, computational biology, bioinformatics, genomics, mathematics and/or statistics. The ideal candidate will demonstrate a working proficiency in one or more programming languages commonly used in data science (e.g. experience in Python, R, C/C++, Java or Julia) and have experience in the UNIX operating environment.

The deadline for applications is March 13th 2019, 23:59 GMT +1

For detail click here


ICFO International PhD Fellowship positions(Summer 2019)

ICFO is offering a limited number of PhD positions to well-qualified graduate students, who wish to obtain a doctoral degree in any of the research topics available within the current call 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.

Fellowships will be offered across all ICFO research groups in the following research areas, including:

  • 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

To be eligible for an ICFO PhD position, candidates must:

  • Have an internationally-recognized Master-equivalent degree. The degree must be completed by the start of your prospective PhD at ICFO, at the latest, and must be in a field of science and engineering related to the ICFO research activities. Degrees issued within the European Higher Education Area (EHEA) must have an equivalent to 300 ECTS, out of which a minimum of 60 ECTS must have been obtained in postgraduate studies.
  • Have an excellent academic record, previous research experience and a strong commitment for scientific research.
  • Have a high working knowledge of English.

For detail click here


Posted on March 01, 2019

PhD fellowship in Epidemiology and Biostatistics at Department of Public Health

The POPE group is conducting epidemiologic research focused on how conditions early in life influence fetus, child and adolescent health. The approximately 20 people in the POPE group work with the Danish National Registries, the Danish National Birth Cohort, and contribute to several international birth cohort collaboration efforts.

The aim of this PhD project is to develop algorithms to predict for whom eating disorder symptoms will resolve, persist or progress across adolescence. The primary data source is the Danish National birth Cohort, with approximately 95 000 individuals that have been followed from prenatal life until early adulthood. On these individuals, massive data is available from reports by the mothers and the individuals themselves collected longitudinally, as well as from linkage with the national registries. Symptoms of eating disorders were collected at 11 and 18 years of age, and diagnosis of eating disorders will be retrieved from the National Patient Registry.

The successful applicant for this Ph.D. fellowship will be a statistician with a strong background in both mathematics and statistics, i.e., a candidate degree in for example mathematics or engineering sciences. Accordingly, we require documented skills within both theoretical and applied statistics and additional experience with epidemiological research, as well as and use of registry data. Further, high-level computational statistics will be valued highly.

Application deadline: 18th March 2019, 23.59pm CET

For detail click here


PhD position: Cell-In-Cell: understanding how two different cells can live together in endosymbiosis

The University of Exeter’s College of Life and Environmental Sciences, is inviting applications for a fully-funded PhD studentship to commence in September 2019 or as soon as possible thereafter. For eligible students the studentship will cover UK/EU/International tuition fees plus an annual tax-free stipend of at least £15,009 for 3.5 years full-time. The student would be based in the state of the art and newly constructed interdisciplinary Living Systems Institute which is in the College of Life and Environmental Sciences at the Streatham Campus Exeter.

Previous work within the lab has produced a large range of data and the student will be given the intellectual space and support to develop their own project within this team and subject remit. The PhD project/s can focus on bioinformatic and evolutionary analysis of ‘omics data, the role of the wider microbiome in the endosymbiotic interaction, cell biological approaches for studying the interaction and/or genetic approaches to understand which genes encode endosymbiotic function . The “CELL-in-CELL-“ project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 819507).

Applicants for this studentship must have obtained, or be about to obtain, a First or Upper Second Class UK Honours degree, or the equivalent qualifications gained outside the UK, in an appropriate area of science or technology. If English is not your first language you will need to have achieved at least 6.5 in IELTS and no less than 6.0 in any section by the start of the project.

Application deadline: 25th March 2019

For detail click here


 

 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.

For detail click here


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.

For detail click here


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

For detail click here


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

For detail click here


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

For more click here


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.

For more click here


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.

For detail click here


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.

For detail click here


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.

For detail click here


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.

For detail click here


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

For detail click here


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.

For detail click here


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

For detail click here


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