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structures in inflammatory diseases and cancer. The successful candidate will join a growing collaborative research group, who works closely with researchers in the Department of Gene Technology, SciLifeLab
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allocation proposals, conducting machine learning workflows, and developing complete models. Example applications include microscopy image data, cryo-electron microscopy, structural prediction and dynamic
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on biological processes as well as the impact of biological processes on materials. Our ambition is to foster a dynamic teaching and research environment that is internationally recognised for its excellence in
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are transforming the study of biological systems at all levels, from molecular structures and cellular processes to human health and global ecosystems. SciLifeLab is scaling up its computational biology and data