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structural variation analysis. Training: You will develop a broad set of skills in computational biology, genetic analysis, bioinformatics, and scientific writing. You will also gain expertise in evolutionary
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relevant to the chosen position (including biology, medicine, biochemistry, bioinformatics or a related discipline, depending on each PhD project) or its equivalent that would entitle them to a doctorate one
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. Models: Cell culture and mouse studies will test selected BEV–brain pathways. Data analysis: Bioinformatics and statistical tools will integrate molecular data with existing clinical and lifestyle
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bioinformatic and AI tools to analyse the mass spectrometry data and improve the de novo sequencing workflows. Your work will lead to new antibody leads, that can be recombinantly produced and ultimately tested
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candidate with a master’s degree in biomedical science, bioengineering, bioinformatics or a related discipline. The ideal candidate: has an interest in and experience with exposome research, occupational
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equivalent•Experience in bioinformatics or AI is a plus•Excellent verbal and written English communication and interpersonal skills•Ability to work independently together with a creative problem-solving
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species, we can hopefully also contribute to better safeguarding its future. The student will receive broad training in molecular biology, historical DNA, genomics, bioinformatics and population genetics
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for their own academic further qualification What we are looking for You hold a degree in biology, (molecular) medicine, bioinformatics, or a related field You have experience independently conducting basic
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. We seek outstanding candidates with a Ph.D. in Computational Biology/Bioinformatics, Cell Biology, or related fields. The ideal candidate will have demonstrated expertise in computational analysis
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required: The candidate should have a strong interest in evolutionary genomics and ecology; should be willing to acquire an extensive training in bioinformatics and statistical data analysis; should have