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progression of pancreatic diseases. This project will entail a multi-disciplinary approach involving techniques of molecular biology, cell culture, and bioinformatics as well as animal modeling studies
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though not necessary. Previous experience in modelling or computation is highly desirable. Additional knowledge or experience in Neuroscience, Air Quality, Public Health, Bioinformatics, Mental Health
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transposable element biology. They should be able to develop and apply at scale bioinformatic tools that identify and classify transposable elements, and the variation they create. Solid experience in
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efficiently interact in the interdisciplinary project. We seek candidates with a strong computer science, mathematics, statistics, or bioinformatics background and strong programming skills. Some previous
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biology, bioinformatics skills are welcome • Practical experience in molecular and cell biology, Western blot and FACS • Ability to work independently and in a team • Good English skills in speaking and
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principles of microbial ecology. The project involves techniques of sequencing and bioinformatic analysis, isolation, cultivation, and characterization of anaerobic microorganisms, as well as mathematical
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Medicine and Pediatrics, Faculty of Medicine and Health Sciences. Profile You hold a master’s degree in medicine, science, bioscience engineering, bioinformatics, or biomedical sciences or equivalent. You
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in bioinformatics and genetics would also be considered. For genetics-focussed candidates, subject knowledge in obesity/metabolism is welcome, but not essential. For molecular biology candidates
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Biomedical Research School (HBRS). BIOMEDAS is directed to students who are interested in combining disciplinary knowledge with the skills of a data scientist and working at the interface of bioinformatics
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at least 120 higher education credits in biology, and at least 30 credits from a degree project within population genetics, molecular systematics, evolutionary biology, ecology, bioinformatics or a similar