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, profound knowledge in ecological concepts related to stability and functional traits, experience in handling big datasets, and an excellent expertise in statistical analyses. The candidate should hold a PhD
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. The candidate should have: a PhD in microbiology, molecular biology, biochemistry or related subjects strong interest in genome-wide functional genetic methods, such as transposon or CRISPR assays. Previous
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on quantitative evaluation metrics such as algorithmic fairness paradigms. Applicants should hold a PhD in philosophy, law, cultural anthropology, or (qualitative) social science. The positions are fixed-term (6
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and others) Analysis of the experimental data, ideally connecting to our machine learning tools Presentation of scientific results on conferences and in publications Requirements PhD degree in physics
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International PhD candidates Erasmus and exchange to Tübingen Summer courses and short-term programs Advice and counseling for international students Studying abroad Back Ways to go abroad Erfahrungsberichte