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description The project focuses on studying the evolution of evolvability using computational simulations. Evidence from evolutionary developmental biology suggests that evolvability can change rapidly in
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your application! We are looking for a PhD student in evolutionary genetics interested in contributing to a better understanding of the mechanisms that shape mutation rates. Your work assignments
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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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programming is desirable. Experience working in population genetics and evolutionary biology/genomics or proteomics is also desirable. Experience with statistical analyses will be considered advantageous. Rules
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Sintorn, Professor in digital image processing, at the Department of Information Technology and conducted alongside researchers developing computational methods with a particular focus on deep learning and
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the development of new bioinformatic tools for understanding the evolution of genetic diversity. This PhD position is part of a five-year research program funded by the Wallenberg Foundation, aimed at developing
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your application! The research group of Antonio Lentini is looking for a PhD student in Medical Science focusing on development of tools to understand tumour evolutionary trajectories. Your work
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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