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will combine state-of-the-art computer vision, modeling and archived specimens to determine biotic and abiotic factors driving spatial variation in molt phenology. It will use museum genomics to recover
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development of phylogenetic methods. The EvonetsLab is supported by a Starting Grant from the European Research Council and a DDLS Fellowship from the SciLifeLab and Wallenberg Swedish program for data-driven
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, in collaboration with Prof. Dr. Kaila’s lab at Stockholm University. The project combines ML approaches with computational, biochemical, biophysical, and structural data to understand how proteins
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, aimed at developing and applying computational tools to understand the evolution of biodiversity (see https://islandevolution.github.io/ ). The candidate will use whole genomic data to answer questions
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and applying computational tools to understand the evolution of biodiversity (see https://islandevolution.github.io/ ). The candidate will use whole genomic data to answer questions pertaining
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The Department of Biochemistry and Biophysics is seeking a Researcher and Head of Unit with experience in drug development for placement at the Biochemical and Cellular Methods Unit, Science for