PhD scholarship

 PhD scholarship in Bioinformatics, Genomics and Life Science:


Update  on  August 17, 2018

Three PhD Positions in Chemical Biology / Biochemistry

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

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

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

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

Deadline 2018-Sept-01

For detail click here


PhD in Biophysics/ Computational Biology

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

Qualifications:

We are seeking for

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

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

Application deadline: September, 15 2018

For detail click here


Posted on August 17, 2018

Doctoral student in Computational Biology

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

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

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

Last application date 15.Sep.2018

For detail click here


PhD in biology - Genetics of long-distance migration

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

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

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

Last application date 29.Aug.2018

For detail click here


Posted on August 15, 2018

PhD student "Deep learning analysis of neuroimaging data"

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

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

Application deadline: 9 September 2018

For detail click here


PhD in Integrating omics and functional datasets

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

Qualifications:

  • An excellent first degree in relevant subject

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

APPLICATION DEADLINE 01/10/2018

Apply here


Posted on August 13, 2018

PhD Student in Metagenomics

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

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

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

CLOSING DATE: September 15th, 2018

For detail click here


PhD student in Bioinformatics / Biochemistry

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

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

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

For detail click here


Posted on August 10, 2018

PhD Position in Biotech Data Science

Job Summary:

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

Job Description:

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

Profile of the candidate:

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

Last application date Aug 16, 2018 12:00

For detail click here


PhD positions in gene regulation

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

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

For detail click here


Posted on August 08, 2018

PhD Fellow in Bioinformatics

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

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

Your Profile:

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

For detail click here


PhD candidate in Immuno-oncology/ Genomics

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

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

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

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

For detail click here


Posted on August 06, 2018

8 Doctoral candidate (PhD Student)Positions

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

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

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

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

For detail click here


PhD Studentship in  Proteomics

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

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

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

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

For detail click here


Posted on August 03, 2018

28 PhD positions within the Doctoral Programme

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

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

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

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

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

For detail click here


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

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

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

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

For detail click here


Posted on August 01, 2018

PhD position in Animal Genomics

The GIGA ( http://www.giga.ulg.ac.be/ ) is seeking for a PHD IN THE UNIT OF ANIMAL GENOMICS.

Established in 2007 at the University of Liege, GIGA is an interdisciplinary rese arch center in biomedical sciences whose mission is advanced medical innovation. The institute encompasses more than 500 members (PI, senior researchers, post - doctoral scientists, thesis students, technicians) with expertise in medical genomics, in silico medicine, neuroscience, cancer, infection and immunity, and cardiovascular sciences.

The candidate will be involved in a project on cancer genomics and tumor evolution with a special focus on applying single - cell technologies combined with NGS in viral models of c ancer. He/she will be part of the HTLV - 1/BLV genomics team. The proposed project is part of a Collaborative Research Project between GIGA UAG ULiège (Professor Michel Georges) and the Jules Bordet Institute ULB Brussels (Dr Anne Van den Broeke).

Education: Master degree in Biomedical sciences or an equivalent degree. Requirements : Motivated and determined to work independently and as part of a team, good communication and organizational skills

For detail 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 01.10.2018 or as soon as possible thereafter.

The project will focus on developing a method for the identification of cellular targets of several hundred conotoxins produced recombinantly in our lab. In addition, the work will involve E. coli expression and purification of particularly interesting conotoxins for subsequent biophysical and structural characterization, as well as functional analysis.

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.

Application deadline: 10-08-2018

For detail click here


Posted on July 30, 2018

PhD Position in Distributed Machine Learning for Precision Medicine

The Department of Mathematics and Computer Science, Faculty of Science at the University of Southern Denmark invites candidates to apply for a three year funded PhD position in the Bioinformatics group on Distributed Machine Learning of Big Data for Precision Medicine, available from 1 September 2018. Application deadline: 31 July 2018.

The host group develops computational methods for efficient analysis and evaluation of large-scale biomedical data sets. The research involves the development of novel and innovative artificial intelligence methods (based e.g. on Deep Learning) for analyzing massive-scale biomedical wet lab data.

The successful candidate should have:
• A master's level degree in computer science, bioinformatics or biomedicine
• Expertise in designing machine learning methods for OMICS data sets
• Hands-on expertise in state-of-the-art big data analytics methods, such as Deep Learning
• Programming skills.

Deadline 2018-July-31


PhD student positions in Bioscience

MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences (GSBS) is a partnership between two institutions: The University of Texas MD Anderson Cancer Center and The University of Texas Health Science Center at Houston (UTHealth). The strength of our faculty and the incredible resources found in the Texas Medical Center, the largest medical center in the world, provide cutting-edge research programs, a curriculum that develops scientific potential and critical/analytical thinking, and training that prepares our students for top positions across the biomedical workforce. Students pursuing their PhD degree at the GSBS may work with outstanding faculty at both MD Anderson Cancer Center and UTHealth.

The GSBS faculty is polled periodically to determine which faculty members are interested in having new PhD students join their research programs and also anticipate they will have the necessary funding to support them. The faculty who responded affirmatively to these questions are indicated below.

Following GSBS Ph.D. Programs in Academic Year 2018-2019:

Biochemistry & Cell Biology Immunology
Neuroscience
Cancer Biology
Medical Physics
Quantitative Sciences
Genetics & Epigenetics
Microbiology & Infectious Diseases
Therapeutics & Pharmacology

For detail click here


Posted on July 27, 2018

PhD student in physics, bioinformatics, medical informatics

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

The Institute of Innovative Radiotherapy (IRT) located in Neuherberg and at the Klinikum rechts der Isar in München (Director: Prof. Dr. Stephanie E. Combs) is recruiting a PhD student in physics, bioinformatics, medical informatics.

Job Description

  • The amount of medical image data has drastically increased in the last decades. The long term vision of this project is the usage of this image data for stratification of tumour patients in radiotherapy treatment, the predict of treatment outcome and guidance in the choice of dosage and treatment modality
  • The project involves the development of a platform for decision making
  • Machine learning methods such as support vector machines or neuronal networks will be used to analyse medical images (CBCT, PET, MR)

Your Qualifications

  • Master degree or equivalent in physics, medical physics, bioinformatics or related discipline
  • Programming skills and some computer science background are highly desirable
  • Interest in interdisciplinary work and flexibility to familiarize with new disciplines

For detail click here


PhD students in Computational protein modelling

Three PhD students, data-driven computational modelling using 3D genomics techniques (chromatin conformation capture) as input. Biophysics, bioinformatics, the role of 3D chromatin structure in storing, processing and evolving biological information; Spatiotemporal 4D genome organization and transcription regulation in human population.

  1. Bioinformatics, protein-protein interactions, protein sequences, structures
  2. Biophysics, genome three-dimensional structure, sequence, epigenomics
  3. Mathematics, Computer Science, software development, supercomputers

Key responsibilities include:

1. Three-dimensional computational modeling using ChIA-PET, Hi-C and HiChIP experimental data

2. Statistical analysis of epigenomic data, ATAC-seq, ChIP-seq, RNAseq experimental data

3. Analyzing the simulations results, formulating biophysical hyphothesis

4. Publications preparation

Profile of candidates/requirements:

1. MSc in computer science, biophysics, biochemistry, bioinformatics or related discipline

2. Documented experience with genomics data

3. Prefered experience in population genomics, DNA sequencing data, epigenomics, RNAseq, ATAC-seq data analysis

4. Priority will be given to candidates with expertise relevant to the TEAM project and in agreement with the general profile of the laboratory. Preliminary work done by applicant in the context of 3DGenomics will be treated as the strong asset.

For detail click here


Posted on July 25, 2018

PhD student in Bioinformatics

Marine ecosystems comprise a vast surface of the earth and contribute significantly to our global health and economy. However, they are currently severely threatened and remain poorly understood. Within this project, we aim to develop and optimize in vitro assays to better understand the effects of marine stress on keystone fish species in the marine environment. The project will focus on omics technologies and cellular assays (Illumina Sequencing, Nanopore sequencing). The project will include both bench work (DNA and RNA extraction methods, sequencing) as well as bioinformatics.

We are looking for a highly motivated researcher with great interest in and/or very good knowledge in at least one of the following: (i) bioinformatics, (ii) Ecotoxicology, (iii) molecular biology.

The project includes both wet lab analyses including DNA and RNA extractions and sequencing as well bioinformatics. Thus, strong background, considerable interest and demonstrable skills in either bioinformatics (e.g., R Biocoductor,…) or DNA/RNA sequencing are a prerequisite. Candidates should have (or almost have) an Ms. Sc. Diploma in a field related to the project (Environmental science, Biology, Ecology, Bio-engineering, …) and should also have a good command of English.

Last application date Aug 15, 2018 00:00

For detail click here


PhD position in tumor immunology/ bioinformatics

The biomedical campus of Heidelberg University, in close vicinity to other top research institutions, including the German Cancer Research Center (DKFZ) and the European Molecular Biology Laboratory (EMBL), belongs to the leading cancer research centers worldwide, which provides a supportive multidisciplinary working environment and offers state-of-the-art research facilities.

The candidate will join a multidisciplinary team within a stimulating atmosphere with excellent scientific working conditions, access to state-of-the-art instrumentation at the Heidelberg University biomedical campus, networks with experienced scientists and further training opportunities. Starting from August 1st 2018 we offer a Postdoc and PhD position for (initially) one year with the possibility of extension for 2-3 more years. Salary is paid according to the German public service scale based on candidates' background and experience (TV-L).

Skills/Qualifications : MSc/PhD (or equivalent) in bioinformatics, biology, biotechnology, biochemistry, medicine, or a related field with preferentially a solid background in immunology, systems or cancer biology.

For detail click here


Posted on July 23, 2018

PhD student in Bioinformatics

Applications are invited for the position of a PhD student, working under the shared supervision of Josep Clotet, Javier Jimenez and Bernhard Knapp in the Department of Basic Sciences, Faculty of Medicine and Health Sciences, UIC University, Barcelona, Spain.

The position will be combination of bioinformatics research and experimental lab work in the field of cancer molecular biology and particularly on cyclin-dependent kinase (CDK) and cyclin interaction. Cyclins have traditionally been implicated in cell cycle progression or transcription regulation, and are known to be deregulated in cancer. The research project of the student will focus on the pairing and characterisation of CDK/cyclin combinations using a wide range of bioinformatics as well as experimental techniques.

Requirements

  • BSc and MSc in a biological field (e.g. molecular biology, biochemistry, biotechnology, bioinformatics, etc).
  • First experience and/or strong interest in Bioinformatics (e.g. a BSc in biology and a MSc in bioinformatics)
  • Basic programming skills (e.g. Python, R, Matlab or Java)

For detail click here


PhD studentship in RNA-Biology

At the Faculty of Medicine, Institute for Lung Research, Prof. Dr. Bernd Schmeck, and research group "RNA-Biology of Inflammation and Infection", Prof. Dr. Leon Schulte, we offer the position of two Research Assistants (PhD students) at the earliest possible time point for three years with the possibility for an extension after the required methods establishment has been completed. Salary will be according to German Public Service (50 % TV-Hessen 13, with the possibility of a merit-based rise up to 65%). The position is limited to the period which is adequate to the duration of the qualification period.

The candidates will perform their research within the frame of the Collaborative Research Center SFB/TR84 (Berlin, Marburg, Gießen), take part in the International Graduate Programme "Molecular Biology and Medicine of the Lung (MBML)" and cooperate within local and national research networks which the group participates in. Our institute hosts state-of-the-art instrumentation, which is accompanied by an excellent core-facility structure at the faculty. The candidate will be supported by existing in-house expertise in cutting edge technologies such as RNA-FISH, RNA-Seq and CRISPR screening as well as by the core-facilities for high-resolution microscopy, mass-spectrometry and flow-cytometry.

Candidates should hold an excellent master or diploma degree in life sciences. A keen interest in current issues of Immunobiology and RNA biology is required as well as extensive practical experience with standard methods of eukaryote molecular biology. Previous experience with RNA molecular biology and Immunology are of advantage. Successful applicants can expect a state-of-the-art laboratory, an innovative research environment and excellent supervision.

For detail click here


Posted on July 20, 2018

PhD position in Bioinformatics for blood-based cancer diagnostics

The lab of Liquid Profiling and Clinical Bioinformatics (headed by Dr. Dr. Christof Winter) is looking for a highly motivated PhD student with good programming skills to join our team. We are an enthusiastic research group developing novel blood-based cancer diagnostics. We are located at the Institute of Clinical Chemistry at Klinikum rechts der Isar, the university hospital of the Technical University of Munich (TUM). The position will be part of a DFG-funded research project on blood-based detection of drug resistance in prostate cancer patients.

Liquid biopsies – blood samples containing circulating tumor cells (CTCs) and cell-free nucleic acids from tumor cells – can provide information about presence and therapy resistance of a tumor in cancer patients. In blood samples collected from patients with advanced prostate cancer, we are investigating DNA and RNA from whole blood, blood plasma, platelets, and CTCs in order to early detect resistance to targeted drug therapy, and to stratify patients for more precise, individualized treatments.

Prerequisites:

  • Above-average Master or diploma degree in bioinformatics, computation biology, biostatistics, computer science, physics, chemistry, biology, or a related discipline
  • Profound programming skills (preferably R)
  • Experience in data science and machine learning is desired
  • Experience with digital PCR data is a plus
  • Experience in statistics is a plus
  • Eagerness to learn and contribute to future cancer diagnostics
  • Enjoying to work in a dynamic, interdisciplinary environment (medicine, biology, chemistry, computer science)
  • Excellent communication skills in English, spoken and written
  • Strong motivation, scientific curiosity, and commitment to scientific excellence

Please send your application including CV with contact details of referees, transcripts or degree certificates, and a brief statement of your research interests in one PDF file to Dr. Dr. Christof Winter – christof.winter@tum.de.

For detail click here


PhD candidate Genetics / Phytopathology

Solynta is a breeding and biotechnology company based in Wageningen, the Netherlands – the home town of one of the leading agricultural research institutions in the world. The company develops and applies new breeding technologies to convert potatoes into a hybrid crop. Hybrid potato varieties with superior traits and performance are being generated at a speed that is vastly greater than what can be achieved by traditional breeding.

The interaction of pathogen effectors and plant receptors is a well-studied system in phytopathology that is helpful in directing strategies to combat the most devastating potato pathogen: Phytophthora infestans. Wageningen University has a long-standing research programme on this topic, whereby numerous pathogen effectors and potato resistance genes have been identified, cloned and characterised.

Two positions are available for: PhD candidate Genetics / Phytopathology & PhD candidate Molecular Plant-Microbe Interactions Researchers are eligible, who resided and carried out their main activity outside The Netherlands for at least two years during the last three years. Candidates for he PhD on Genetics/Phytopathology will primarily work at Solynta and should have experience in molecular genetics and phytopathology with affinity for plant breeding.

For detail click here


Posted on July 18, 2018

Four PhD Student positions in Cancer Biology

CANBIO is a competitive PhDtraining program for a total of 18 PhD candidates, supported by the researchfunding scheme PRIDE ofthe Luxembourg National Research Fund (FNR). The CANBIO doctoral training unitprovides structured PhD training in cancer biology and aims to bridgefundamental cancer research with clinically-oriented applications.

PhD candidates will conduct their research project either at the Department of Oncology of the Luxembourg Institute of Health (LIH, Luxembourg) or at the Life Sciences Research Unit of the University of Luxembourg (Campus Belval, Esch- sur-Alzette). The PhD candidates will be enrolled at the doctoral school of the University of Luxembourg. The program will allow the 4 selected candidates to obtain a PhD degree in life sciences, with a focus on either brain cancer, colorectal cancer, melanoma or the tumor microenvironment.

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

Application deadline: 31st August 2018 

For detail click here


PhD position in Biology

The Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI) is a member of the Helmholtz Association (HGF) and funded by federal and state government. AWI focuses on polar and marine research in a variety of disciplines such as biology, oceanography, geology, geochemistry and geophysics thus allowing multidisciplinary approaches to scientific goals.

Siberian ecosystems were characterized by strong changes during the Quaternary which has hitherto only partially been documented by classical palaeoecological approaches. As part of this position, the new tool of sedimentary ancient DNA will be applied, that allows a more complete view of past biodiversity and foodwebs changes between glacial and interglacials.

We are looking for a PhD student with enthusiasm for long-term ecological changes in the Arctic. Within an interdisciplinary team, the application of new genetic methods to lake sediments will be implemented and will be compared to results from traditional palaeoecological methods such as pollen analyses.

The position requires a Master’s (or equivalent) degree in Biology or related discipline. We seek a person with experiences in long-term plant ecology and/or practical experience with standard molecular genetic techniques. Experiences in data analyses tools (R, bioinformatic programs) are of advantage. Participation in multi-week field campaigns in the Arctic under sometimes harsh environmental conditions is a requirement for the position.

Please forward your applications with the standard documentation (cover letter with motivation, CV and two references / letters of recommendation) by August 31st 2018 referencing code 108/D/Geo-P.

For detail click here


Posted on July 16, 2018

International CRAG PhD Positions (Agricultural Genomics)

About CRAG Research at CRAG encompasses basic science in plant development, physiology, metabolism and genetics; bioinformatics and genomics of plants and farm animals; and applied projects developed together with Agbio, Biotech, and Breeding companies. CRAG is located at the campus of the Universidad Autónoma de Barcelona (UAB), and currently hosts 200 members from across the world in its facilities inaugurated in 2011: an ample and well-equipped building designed for modern plant biology and genomics research. CRAG received in 2015 the “Severo Ochoa Center of Excellence” Award, and the “Human Resources Excellence in Research” accreditation.

The Doctoral program of the Centre 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. Currently, we are inviting applications for 4 PhD positions within our International CRAG PhD Program, to start around autumn 2019. We are looking for enthusiastic students interested in modern, multidisciplinary plant sciences, encompassing experimental, bioinformatic and theoretical approaches. Doctoral projects included in this call are:

  • The hidden nature of the Arabidopsis peptidome: Analyses of the Arabidopsis flower development gene regulatory network
  • New biotechnological tools to improve production and storage of vitamins A and E in plant cells
  • Functional genomics, systems biology, and microbiomics applied to the identification of genetic regulators of growth, fatness, and meat quality traits in pigs
  • The role of glycosylated sterols in the tomato stress response. Molecular bases and agronomical application

Applications will be accepted until August 30, 2018

For detail click here


Three Doctoral Researchers Systems Biology

The Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute – (HKI) investigates the pathobiology of human-pathogenic fungi and identifies targets for the development of novel natural product-based antibiotics. The Marie Skłodowska Curie Innovative Training Network (ITN) BestTreat is seeking highly motivated and qualified Early Stage Researchers (ESRs) for obtaining a PhD degree in the fields of metabolism, endocrinology, physiology, biochemistry, computational & systems biology, microbiology and bioengineering.

The SBI group will recruit 3 Doctoral Researchers (m/f) Systems Biology for the combined analysis of a large number of multi-meta-omic datasets for modelling the association of gut microbial communities and clinical phenotypes. A cutting-edge Training Program for young scientists has been developed including secondments within the industrial partners of the Network. Starting date of the positions is 1st of November 2018 or soon after. The positions are for 36 months.

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

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

Complete applications in English should include a CV, certificates, transcripts, a brief statement of research experiences and interests, brief summary of Master’s thesis and the contact details of two possible referees, and should be submitted by September 01, 2018 via the online application system of the HKI.

For detail click here


Posted on July 13, 2018

29 PhD student positions, Regenerative Medicine: Utrecht, Netherlands

University Medical Center Utrecht and University Utrecht are offering 29 PhD positions focusing on regenerative medicine and stem cells, in Utrecht, the Netherlands, within the EC H2020 Marie S. Curie COFUND RESCUE doctorate project. All positions will be located at the Regenerative Medicine Centre Utrecht and signed up to the Regenerative Medicine PhD Program within Utrecht’s Graduate School of Life Sciences. However, each position is different and has specific eligibility requirements. You will be trained by different institutes, sectors and disciplines.

RESCUE trains in three main research pillars: I. Stem Cell & Organoid Biology, II. Cardiovascular Regeneration, and III. Musculoskeletal Regeneration. You will obtain this specialist training by participating in cutting-edge research projects, attending specialist training schools and other networking activities, and receiving training in generic research and transferable skills.

Strict and mandatory requirements for all candidates: you are in the first four years of your research career (no doctoral degree) before the appointment date, you have not lived in or carried out your main activity (e.g. reside, work, studies) in the Netherlands for more than 12 months during the 3 years immediately prior to the application deadline, and you hold an MSc degree (or will graduate before the appointment date) in biomedical engineering, biotechnology, medical/biomedical sciences, neuroscience, pharmacy, veterinary medicine and/or human medicine.

For detail click here


Ph.D. studentship in Metagenomics/ Bioinformatics

The Environmental Microbiology Laboratory (EML) in the School of Architecture, Civil and Environmental Engineering, EPFL is seeking a Ph.D. student to investigate microbial bile acid transformations in the gut.

Requirements :

  • educational background in microbiology
  • a strong background in omics (metagenomics and metaproteomics) is an asset
  • computer skills: Word, Excel, Powerpoint, bioinformatics
  • language: fluent English
  • self-motivation, scientific curiosity, critical thinking and rigor in experiment work
  • good communication skills and ability to work as part of an international team
  • enthusiasm, willingness to learn, good organizational skills

The project deals with bile acid transforming bacteria. Bile acids are produced by the liver and are transformed by bacteria in the gut. This transformation is of key importance because it produces secondary bile acids that serve as signaling molecules for the host and that play a role in metabolism, immunity, and disease. This highly interdisciplinary project involves four research groups (three in Switzerland and one in the UK) and combines microbiology with novel genetics tools, mouse models, clinical samples to investigate the role of bile acids transforming bacteria in health and disease.

Start date : October 1st, 2018

For detail click here


Posted on July 11, 2018

PhD Candidate in Single Cell Bioinformatics

The Institute for Computational Genomics, Medical Faculty of RWTH Aachen University is seeking a Phd Candidate (m/f) in Single Cell Bioinformatics in Machine learning methods for the analysis of single cell epigenomics data. Candidates will perform research on methods for analysis of single cell epigenomics and transcriptomics scATAC-Seq, scRNA-Seq and scBSseq. These projects will be performed in collaboration with stem cell and medical specialists from the RWTH Aachen University.

Applicants should hold a Master of Science in Bioinformatics or Computer Science. Experience in the analysis of biological sequences, regulatory genomics and/or machine learning 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.

Interested candidates should send a brief statement of research interests, CV and the names of three references (code-no: GB-P-11644 by 15th August 2018) to: ivan.costa@rwth-aachen.de.

For detail click here


PhD student position in Immunology

The Research Group for Paediatric Pneumology and Infectious Diseases (Head: Prof Dr M arc Jacobsen) at the Children’s University Hospital in Duesseldorf , Germany offers a PhD student position in Immunology.

As part of a German - African Collaboration project s in Infectiology funded by the ‘German Research Foundation (DFG) , we aim to investigate the T - cell mediated immune response against tuberculosis and the influence of concomitant helminth infection. Especially the efficacy of BCG vacci nation to induce protective T - cell immunity against tuberculosis will be determined in field studies performed in Kumasi/Ghana. In addition, basic immunological mechanisms underlying helminth - dependent immune polarization will be investigated.

We have previously shown that Mansonella perstans , a largely neglected parasitic helminth, is widely distributed in Ghana and interferes with anti - mycobacterial host immune responses. This immune modulation may affect the efficacy of BCG vaccination and immune - protection against tuberculosis . Key mechanisms of T - cell response against tuberculosis have been identified by our group that are analyzed as potential targets in this study.

We are looking for an excellent and dedicated candidate, who is highly motivated and willing to work within an ambitious and international research group. A successful candidate should fulfil the following requirements:
• MSc in Biology /Immunology or related fields
• Keen interest in bench - to - bedside r esearch and immunology of infectious diseases
• Ideally ( but not a prerequisite ) , candidates have already experience in immunological assays (e.g. flow cytometry )
• Knowledge in statistical methods and in the use of SPSS and in ‘R’ are also an advantage

For detail click here


Posted on July 09, 2018

Doctoral student positions in Machine Learning (Bioinformatics)

Finnish Center for Artificial Intelligence (FCAI; http://fcai.fi) is searching for exceptional doctoral students and postdoctoral researchers to tackle complex and exciting problems in the field of machine learning. Come and join us to create the next generation of AI that is data-efficient, trustworthy and understandable!

FCAI brings together the world-class expertise of Aalto University and the University of Helsinki in AI research, strengthened further with an extensive set of companies and public sector partners, creating an attractive, world-class ICT hub in Helsinki metropolitan area.

We are looking for a PhD student to develop novel non-parametric and deep machine learning methods for time-series and structured data, including data-driven non-parametric ordinary and stochastic differential equations and non-stationary/deep Gaussian processes with sparse approximations and inference methods. Applicants are expected to have strong background in probabilistic modeling, machine learning, programming, and have previous experience with (or desire to learn) auto-differentiation/Stan/TensorFlow.

For detail click here


PhD-candidate for the NanoCommons project (BioInformatics)

Nanotechnologies is increasing our ability to improve our quality of life. Whether is it innovative medicine, ingredients in new beneficial products, or reducing the cost of smartphones, nanomaterials have found their way into our society. However, like any chemical of natural or synthetic source, sometimes the chemical substance cause adverse outcomes.

We seek a candidate with strong academic abilities and the ambition to become an excellent researcher. You have completed a research master in the natural (biological, chemical, biomedical) sciences, or an equivalent 2-year degree. Outstanding students with a 1-year regular master can be accepted in exceptional cases when their profile exactly matches the requirements for this research project.

We are looking for a prospective PhD candidate with either a background in bioinformatics, ontology development, cheminformatics, or equivalent, with affinity for data integration issues and systems biology approaches. The ideal candidate will have covered all aspects, but candidates with experience in one of these and an interest in the other are also encouraged to apply.

For detail click here


Posted on July 06, 2018

PhD Position in Advanced Machine Learning in Bioinformatics

The Department of Mathematics and Computer Science, Faculty of Science at the University of Southern Denmark invites candidates to apply for a three year funded PhD position in the Bioinformatics group on Advanced Machine Learning, available from 1 September 2018. Application deadline: 31 July 2018. The selected candidate will work in an international collaboration and we seek to develop novel machine learning tools for the analysis of next-generation wet-lab technologies, for example single-cell analysis. We will develop efficient clustering methods for extreme large-scale data, deep learning methods for raw data analysis and similar.

The successful candidate should have:
• A master's level degree in computer science, bioinformatics or biomedicine
• Expertise in designing machine learning methods for OMICS data sets
• Hands-on expertise in state-of-the-art big data analytics methods, such as Deep Learning
• Programming skills.

The successful applicant will be based in the Department of Mathematics and Computer Science at the Faculty of Science and supervised by Richard Roettger.

For more information about the details of the project, please contact Dr Richard Roettger by e-mail: roettger@imada.sdu.dk.

For detail click here


PhD student in Data Science (with application to immunology)

Applications are invited for the position of a PhD student, working under the supervision of Bernhard Knapp in the Department of Basic Sciences, Faculty of Medicine and Health Sciences, UIC University, Barcelona, Spain. The work group of Bernhard Knapp (https://www.uic.es/bioinformatics) focuses on computational simulations of the (human) immune system. We provide novel insight in fundamental processes of the immune system by means of quantitative analysis and predictive models.

Requirements Must criteria:

BSc and MSc in a quantitative field (e.g. computer science, statistics, math, (bio)physics, bioinformatics). The MSc must have been obtained after the 1 November 2016.

Broad experience and fluency in several programming languages e.g. Python

Knowlegde of data science techniques: Regression (e.g. ANN, Lasso, Ridge) , classification (e.g. SVM, KNN), clustering (e.g. k-means, hierarchical), heuristic optimisation (e.g. genetic algorithms), parallel computing (e.g. MPI, pySpark), SQL, noSQL is an advantage

For detail click here


Posted on July 04, 2018

PhD Studentship: Molecular, Genomic and Bioinformatic

This project aims to address a significant public health issue. Annually, the Rare and Imported Pathogens Laboratory screens~17,000 suspect lyme samples from patients in the UK. Lyme-disease-causing Borrelia species are present in UK ticks and lyme case numbers are rising, but the majority of tick-bitten patients test negative for Borrelia, suggesting infection by other, undetected, microorganisms.

DNA sequencing of ticks will be used to identify bacterial species present in pools of ticks collected from around the UK, what they previously fed on and how related they are. From this data the student will design of a panel of assays for each target which will be used to screen a far larger number of ticks/tick pools. This will provide key public health information on the range of bacterial pathogens present in ticks, the carriage level as well as the source in nature.

The post will provide extensive training inmicrobial, molecular, genomic and bioinformatic methods and utilise both Illumina and Oxford Nanopore sequencing platforms.

The anticipated start date is October 2018; interviews with short-listed applicants are scheduled to take place in August 2018 at PHE-Porton Down.

For detail click here


PhD Position in Endolysosome Biology

Our group is investigating mechanisms of kidney diseases, a growing health issue in Switzerland. Our translational studies are using molecular and cell biology techniques, metabolic studies and genetics applied on mouse models. We play an active role in international consortia (EURenOmics, TranCYST) and collaborative networks in Switzerland. Ultimately, our goal is to improve the understanding and the treatment of diseases affecting the kidney.

Qualifications

A PhD position is currently available in a dynamic, international research group investigating endolysosomal disorders primarily affecting the kidney.

  • The endolysosomal system sustains the reabsorptive activity of specialized epithelial cells, hence their role in homeostasis.
  • In view of their crucial role in reabsorbing and processing essential nutrients, the proximal tubule epithelial cells provide a particularly well–suited model to investigate pathogenic mechanisms underlying epithelial cell disorders.

Profile: We are looking for recent graduates (Master of Science in biology or pharmaceutical sciences or similar) who are strongly interested in cell biology and/or in disease–oriented research, and who are enthusiastic and with a drive scientific innovation and discovery.

Deadline 31.08.2018

For detail click here


Posted on July 02, 2018

PhD Candidate for Computational Biology

Understanding the complex cis-regulatory grammar underlying cell and tissue identity is of great importance for stem cell research and regenerative medicine. However, due to the inherent complexity of gene regulatory networks, our understanding of how they shape complex phenotypes remains incomplete. The proposed PhD project is part of the recently funded Vidi project 'Inference of gene regulatory logic in metazoan development'.

You will join our research team in the Department of Molecular Developmental Biology at the Radboud Institute for Molecular Life Sciences (RIMLS), Faculty of Science, Radboud University (Nijmegen, Netherlands). We offer a first-class international research environment in regulation of gene expression and epigenetics using state-of-the-art genomic, single cell analysis, proteomic technologies and bioinformatics.

What we expect from you

  • a Master’s degree in computational biology, bioinformatics/biology, molecular sciences or a related field, and a strong interest in computational biology or computer science, statistics, machine learning or a related field including a solid foundation in biology;
  • demonstrable programming experience;
  • willingness to adopt open science practices (sharing code and data, publishing preprints);
  • excellent communication skills in written and spoken English;
  • strong analytical skills, a problem-solving and result-oriented attitude

Application deadline: 20 August 2018

For detail click here


Doctoral (PhD) student position in Molecular Biology of Neurodevelopment and Autism

The research group led by Assistant Professor Kristiina Tammimies focuses on understanding genetic and biological factors associated with neurodevelopmental disorders (NDDs) such as autism spectrum disorder. We perform high-resolution genetic analyses in different NDD cohorts and following up the findings using bioinformatics approaches and cellular models. We are conducting translational research by combining data from neuropsychology, neuropathology, and environmental factors with the genetic data to understand the biological mechanisms leading to NDDs.

We are looking for a highly motivated and engaged candidate with a degree in Molecular biology, Biochemistry, Biomedicine, Genetics, Medicine, Computational Biology or similar fields. Earlier experience in cell culture and working with RNA is required. Earlier knowledge in working with transcriptomics or other bionformatic projects is an advantage. The candidate should be curious, thorough, honest and enthusiastic about science and the research topic. She/he should able to work both independently and as part of a team. Good written and verbal communication skills in English are required.

APPLICATION DEADLINE 31/08/2018 23:59 - Europe/Brussels

For detail click here


Posted on June 29, 2018

PhD Studentship: Prediction of Alzheimer's Disease Risk Using Integrative Metabolomics

We are advertising an exciting three-year data-science PhD studentship, funded by the Van Geest Endowment Fund.This is an excellent opportunity for candidates who wish to develop a career in data science, biostatistics and bioinformatics. The student will use large multi-omic datasets and well-characterised longitudinal cohorts with a wealth of biological and clinical data.

The successful applicant will benefit from being supervised by experts in the fields of Alzheimer’s disease genetics/ genetic epidemiology, bioinformatics, and metabolomics. The applicant will be based at the Department of Basic and Clinical Neuroscience at the world leading Maurice Wohl Clinical Neuroscience Institute, at the Institute of Psychiatry, Neuroscience and Psychology (IoPPN), at King’s College London.

Closing date: 8th July 2018 (23:59 GMT)

For detail click here


PhD fellowships in Glycosciences/ Glycomics

Copenhagen Center for Glycomics invites applications for 3-year PhD fellowships in the research area of glycosciences, glycoinformatics, and Drosophila biology. The fellowships are available from Oct 1st, 2018, or as soon as possible thereafter.

PhD fellowships 

1. In the O-mannosylation project you will use Drosophila melanogaster, which is as a valuable model to study human diseases, including neurological disorders, cardiovascular diseases, as well as cancer.
2. In the in-silico project, you will be developing statistical models and tools that can be used to predict glycosylation pathways and outcomes.
3. In the O-glycan project you will use gene engineering (CRISPR/Cas), mass spectrometry, in-silico strategies, combined with cell and tissue models.

Required qualifications  
The successful candidate will have a masters’ degree (or equivalent) in biology, biochemistry, molecular biology, computer science or related. Experimental laboratory experience and proficiency in both written and spoken English is required, and candidates with international publications and experience directly related to the research topics of the positions outlined above will be given preference.
The deadline for applications is Sept. 1st, 2018.

Posted on June 27, 2018

PhD Scholarship in Stem Cell Bioinformatics & Computational Biology

The University of Queensland's Australian Institute for Bioengineering and Nanotechnology (AIBN) is a dynamic multi-disciplinary research institute dedicated to developing technology to alleviate societal problems in the areas of health, energy, manufacturing and environmental sustainability. AIBN brings together the skills of more than 450 world-class researchers complimented by an extensive suite of integrated facilities, working at the intersection of biology, chemistry, engineering and computer modelling.

Three project areas are available for a PhD candidate to work on:

  1. Modelling variability in gene expression to unlock insights into human aging and aging-related disease processes.
  2. Integrating multiple ‘omic data to develop systems biology models to understand how plasticity and robustness are regulated in stem cells.
  3. Developing bioinformatics methods based on Bayesian statistics for single cell next-generation sequencing data.

A PhD represents a commitment to acquiring new skills, developing critical thinking, and learning to communicate across different disciplines. The end goal of this training period is to bring all these skills together to become an independent scientist. In bioinformatics, students are often required to build new computational methods, interpret complex data sets, and apply methods to understand scientific questions.

Applications close: 01 Aug 2018 (11:55 PM) E. Australia Standard Time

For detail click here


PhD position in Biochemistry

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

Project description
The research in Ivarssonlab aims to elucidate protein-protein interactions of relevance for cell signaling and function. Our main focus is on interactions between short linear motifs (3-12 amino acids, found in the intrinsically disordered regions of proteins) and motif-binding proteins. We study both endogenous and pathogen protein-protein interactions. The information can be used for the design of peptidomimetic inhibitors.

Requirements
To qualify for a PhD position, you must have at least 240 credits (hp), or an equivalent basic university education, with at least 90 credits in chemistry and 60 credits at the advanced level in the specialization subject. For a PhD education in biochemistry the requirements are at least 45 credits in biochemistry, of which 15 credits should be thesis work. It is desired that you have a Master´s degree in Biochemistry or similar experience, and that you have experience of biochemical and biophysical methods, as well as previous experience of protein expression and purification. It is of added value if you have experience of bioinformatics analysis and/or other biochemical, biophysical or cell biological methods.

Please submit your application by 24 august 2018, UFV-PA 2018/2572.

For detail click here


Posted on June 25, 2018

Graduate students in Bioinformatics

We are interested in understanding the intersection of genetics, genomics and human disease, with a focus on cancer. By leveraging large datasets and utilizing different computational methods we are better able to investigate the biology underlying cancer and other diseases.

The Cheng Lab welcomes interested Ph.D. students already admitted to the either the Molecular and Cellular Biology (MCB) or Quantitative Biomedical Sciences (QBS) Programs at Dartmouth. Interested students should contact Dr. Cheng about potential rotation and thesis projects.

For detail click here


PhD positions in biology/ life sciences

The German Cancer Research Center offers 2 PhD Student positions at the National Center for Tumor Diseases (NCT Dresden), department of Translational Medical Oncology.

The department "Translational Medical Oncology" headed by Prof. Hanno Glimm of the German Cancer Research Center (DKFZ) at the National Center for Tumor diseases (NCT) Dresden focuses on the functional and molecular characterization of malignant cell regulation and metastasis formation. We have established and extensively characterized biobanks of patient-derived in vivo and in vitro cancer models and investigated clonal dynamics and regulation of tumor-initiating cell (TIC) activity in gastrointestinal cancers (e.g. Cell Stem cell 2011; Cancer Letters 2016; EMBO MolMed 2017; IJC 2017; JEM 2017; Nature Genetics 2017).

Applicants should hold a Master’s degree or equivalent in biology/life sciences with an excellent background and experience in cellular and molecular biology as well as cancer biology, or closely related fields. The applicants should be highly self-motivated and be able to pursue and drive research projects independently as well as in collaborations.

For detail click here


Posted on June 22, 2018

PHD Studentship - Genomic analysis of S-haplotypes in almond

This project is part of the University of Nottingham (UoN) and University Of Adelaide (UoA) Joint Doctoral Training Partnership. PhD graduates will obtain jointly awarded degrees from the University of Adelaide and the University of Nottingham, students are expected to spend a minimum of 18 months at both institutions.

Almond is a significant horticultural crop in South Australia. Self-incompatibility (SI) is common in almond and many related orchard crops such as cherry. This results in the rejection of self-pollen with no fruit produced. This natural trait requires the use of pollinator trees if a good yield is to be achieved by the grower.

In this project the PhD student would work with several almond S-RNase and SFB sequences identified by researchers in Adelaide. During the first year in Nottingham selected genes will be cloned into expression systems that will allow protein purification. The project will allow access to the protein structure facilities at Harwell near Oxford. Expression studies in yeast will allow protein-protein interactions to be examined using a two-hybrid system. During years 2 and 3 the project will involve molecular breeding studies at the University of Adelaide.

Closing Date: 13/07/2018

For detail click here


PhD fellow in probabilistic programming and protein structure prediction

Department of Computer Science, Faculty of Science at University of Copenhagen is offering a PhD scholarship in probabilistic programming and protein structure prediction commencing 1 November 2018 or as soon as possible thereafter.

The supervisor, Thomas Hamelryck, has a joint position at the Departments of Computer Science (DIKU) and Biology (BIO), thus providing the PhD applicant with a thriving, multidisciplinary research environment spanning two departments. Relevant research at DIKU includes machine learning, deep learning and computational biology.

The project entails using cutting-edge machine learning methods, including probabilistic programming, to the problem of protein structure prediction. We aim to predict the structure of entire protein families at a time, including ancestral proteins, based on a well-justified evolutionary model based on Bayesian principles. The method will be applied to a protein family that is an important cancer drug target.

Formal requirements: Applicants should hold an MSc degree in Computer Science, Bioinformatics, Physics or Statistics with good results and good English skills. The candidate should have relevant training and experience in machine learning and/or statistics. 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 July 2018, 23:59 GMT +2.

For detail click here


Posted on June 20, 2018

PhD Fellowships in European Collaboration Project

Innovative Training Network of the European Commission H2020-MSCA-ITN-2017 no. 765104 MATURE-NK: TUMOR-REACTIVE NATURAL KILLER CELLS 13 PhD students Within a newly formed ITN we are searching for 13 PhD students interested in anti-cancer responses of natural killer (NK) cells, the manufacturing of tumor-reactive NK cells and their application in the therapy of leukemia and other forms of cancer. Candidates should have a solid basis for research in molecular medicine and immunotechnologies. 1 position will be available in each of the individual partner laboratories:

- Ulrike Koehl, Medical School Hannover, DE
- Karl-Johan Malmberg, Oslo University Hospital, NO
- Jakob Passweg, University Hospital Basel, CH
- Daniela Pende, University Hospital Genoa, IT
- James di Santo, Institute Pasteur, Paris, FR
- Adelheid Cerwenka, University Heidelberg, DE
- Miguel Lopez-Botet, Universitat Pompeu Fabra, Barcelona, ES
- Ofer Mandelboim, Hebrew University, Jerusalem, IL
- Arndt von Haeseler, Medical University Vienna (bioinform), AT
- Eric Vivier, Innate Pharma SA, Marseilles, FR
- Nina Möker, Miltenyi Biotec, Bergisch Gladbach, DE
- Jan Spanholtz, Glycostem Therapeutics, Oss, NL
- Gerno Schmiedeknecht, Fraunhofer Institute, Leipzig, DE
The training program pursued will include research training in the individual laboratories with regular exchange between the laboratories and 6 Summer/Winter Schools including workshops and training courses in bioinformatics, priority rights and biotech business.

Fellowships will run for 3 years and start between September 2018 and May 2019.

For detail click here


PhD student in the research education subject: Plant Breeding with focus on machine learning

SLU Department of Plant Breeding performs research and education addressing global challenges affecting our livelihoods and the environment. Our focus is on sustainable food and biobased materials production, nutritional enhancement through breeding and processing, as well as eco-efficient and resilient crops for a biobased economy in a changing climate. The Plant Breeding Division works on putting traits into usable forms by understanding their diversity and genetics with the aid of advanced breeding tools. We apply this knowledge for the genetic betterment of cultivars of economically important crops.

Plant breeding plays an important role in developing cultivars for sustainable agriculture. Developing new methods for selection can expedite the process of cultivar development. These new methods can be based on genomics, omics and high-throughput phenotyping combined with integrated data analysis. The goal of this PhD student project is to develop novel methods for selection of plants by combining high-throughput techniques using machine learning and deep learning to detect traits of interest in crops. The outcome of this project will contribute towards the strengthening of plant breeding for food crops in order to increase the innovation potential and food security. You will work with researchers involved in putting traits into usable forms by understanding germplasm diversity and genetics with the aid of omics tools. You will also work in close collaboration with the stakeholders.

You are qualified to be admitted to postgraduate education if you have a MSc degree or four years full-time studies of which at least one year at advanced level. For this position, your degree / studies must have a focus on bioinformatics, plant breeding, genetics or equivalent. You should have advanced level skills in computer programming in the languages Python, C, C++ or Java. Knowledge in statistics and experience in R is required. You should have the ability to work independently as well as in a team, and you should be able to communicate and write in English. Since the position requires visiting the fields, having a driving license is a merit.

For detail click here


Posted on June 18, 2018

PhD candidate in Bioinformatics

BioMedaqu project: Aquaculture meets Biomedicine: Innovation in Skeletal Health research (http://www.giga.uliege.be/biomedaqu). BioMedaqu is a Marie Sklodowska-Curie Innovative Training Network (MCSA-ITN) with the primary research aim to create an innovative expertise combining research in skeletal biology of aquaculture fish species with that in biomedical models and humans. In total, 15 Early Stage Researchers (ESRs) will be appointed by the BioMedaquconsortium for 36 months each.

The ideal candidate should have a Master in Computer Science orBiomedical Engineering, with a taste for deep/machine learning and modern software programming. The candidate will be supervised by senior scientific staff with a background in computer science (Prof. Wehenkel, Prof. Geurts, Dr. Raphaël Marée) in collaboration with biomedical researchers (Dr. Marc Muller) and other project partners.

Skills/Qualifications
The ideal candidate should have a Master in Computer Science or Biomedical Engineering, with a taste for deep/machine learning and modern software programming.

For detail click here


PhD in Molecular Biology/ Genetics

The IUF – Leibniz Research Institute for Environmental Medicine investigates the molecular mechanisms through which particles, radiation and environmental chemicals harm human health. The main working areas are environmentally induced aging of the cardiopulmonar system and the skin as well as disturbances of the nervous and immune system.

The project is focused on the potential of CRISPR/Cas9 in:
1) correcting genetic human diseases, susceptibilities toward environmental toxical;
2) generating mutations/SNP’s on different cell types in order to recapitulate human diseases/susceptibilities
3) identification of off-set targets.

Qualifications
We seek a highly motivated candidate (f/m) with a background in genetics and molecular biology. Expertise and interest in standard molecular biology techniques and cell culture is critical, and experience with plasmid cloning, gene editing and AAV vector production. The candidate is required to have strong skills in English and German and proven abilities to publish at a high international level with at least one first author publication.

For detail click here


Posted on June 15, 2018

PhD student in Prediction and Reprogramming of somatic cells

We invite applications for a PhD student position with a dual placement in the laboratory of Prof Antonio del Sol (https://wwwen.uni.lu/lcsb/research/computational_biology) at the Luxembourg Centre for Systems Biomedicine (Luxembourg) and at the laboratory of Professor Ernest Arenas (http://ernestarenaslab.org/) at the Karolinska Institute (Stockholm, Sweden).

The laboratory of Prof. Antonio del Sol is at the Luxembourg Centre for Systems Biomedicine, an interdisciplinary centre of the university of Luxembourg, which combines experimental and computational research to tackle a variety of biomedical problems. In particular, del Sol’s lab develops mathematical and computational approaches using multiple sources of biological information (e.g. transcriptomics, epigenomics, proteomics) in order to build computational models to analyse complex biological systems and disease processes from a systems biology perspective.

The successful student will develop a project aiming at reprogramming human fibroblasts or astrocytes into induced midbrain tissue and dopaminergic neurons in vitro based on single cell RNA-seq analysis and bioinformatics predictions.

APPLICATION DEADLINE 10/08/2018 12:00

For detail click here


PhD student positions at EPFL-Institute for Cancer Research

A PhD student position is available in the laboratory of Elisa Oricchio at EPFL-Institute for Experimental Cancer Research in Lausanne (Switzerland). Research in the lab focuses on the genetics of lymphoma and its translation into new therapies. We combine genomic analyses of human tumors with functional in vivo studies to assess the role of genetic lesions in lymphomagenesis, disease progression, and treatment response.

The ideal applicant should be interested in cancer biology and willing to learn molecular biology and cell culture techniques. Good programming skill and a background in bioinformatics will be preferred. In this position, you will join a dynamic team of cancer biologists and you will be able to work with high-throughput single cells analyses and high-throughput chromatin conformation capture data.

The candidate should send a motivation letter and the CV with the name of three referee to Dr. Oricchio: elisa.oricchio@epfl.ch

For detail click here


Posted 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

 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