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We are seeking a postdoc to become part of our research team. Research will be conducted at the Günther Lab within the Human Evolution Program within the Department of Organismal Biology
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individual laboratories. Computational methods and artificial intelligence based on large-scale molecular data are transforming the study of biological systems at all levels – from molecular structures and
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, the Faculty of Science and the regional university healthcare, within a broad range of medical topics and disease areas, as well as cutting-edge infrastructures , high-capacity computational resources
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. Project description: DDLS Fellows Program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular
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taken a prominent role in international collaborations such as CETAF, DiSSCo, GBIF, FishBase, and CBOL. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence
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General description of the DDLS Fellows programme Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels
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are service-orientated, proactive, thorough and able to quickly find solutions to questions and problems. You enjoy managing multiple tasks in parallel and working independently, efficiently and in a
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these questions through an interdisciplinary lens, with a strong focus on mathematical and computational methods closely connected to evolutionary theory and biological data. Read more about our research themes and
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of Pharmacy, Faculty of Pharmacy. The unit focuses on in vitro ADME (Absorption, Distribution, Metabolism, and Excretion), bioanalysis, and pharmacokinetic (PK) profiling during early drug discovery. More
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National Program for Data-Driven Life Science (DDLS) is a 12-year initiative that focuses on data-driven research, to train and recruit the next generation of life scientists and create strong and globally