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The Department of Gene Technology, at KTH Royal Institute of Technology, is looking to fill a position as Assistant Professor focused on innovative development and application of computational
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of complex brain processes. The prospective PhD candidate collects brain MSI data and develops novel machine learning methods in connection to generative models such as flow matching. Therefore, the doctoral
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program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes
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complex biological processes. This project combines timely analytical challenges with deep rooted applications in life science. We are looking for a candidate with a PhD in either engineering/computer
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Wählby’s research group. Requirements You must have a PhD degree within digital image analysis/image processing or similar, or alternatively in bioinformatics/biomedicine/biology or similar. Documented
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Job description The Koplev lab is recruiting an outstanding and ambitious postdoctoral researcher in computational