10 Computer Science "Data driven Materials Modeling" Postdoctoral research jobs at SciLifeLab in Sweden
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an outstanding and ambitious postdoctoral researcher in computational biology to pioneer understanding and modeling of tissue architecture using single-cell and spatial transcriptomics data. The focus will be
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research group funded by the Data-driven Life Science Fellows (DDLS) program. Led by Wei Ouyang, the group builds next-generation AI systems for cell and molecular biology. Data-driven Life Science Fellows
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at the Division of Biomedical Engineering Department of Materials Science and Engineering, Uppsala University Full-time temporary position for two years starting in September 2026, or as agreed upon
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KTH Royal Institute of Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health Job description Alpha Cell is a new SciLifeLab program aimed at building the first molecular
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Do you want to contribute to improving human health? Description of the research group Alpha Cell is a new SciLifeLab strategic program aimed at building the first molecular-level computational
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Umeå Plant Science Centre (UPSC) The Department of Plant Physiology is offering a postdoctoral scholarship within the project Con-TEki, which investigates the role of transposable elements (TEs) as
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Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Mathematics and Computer Science, Department of Information Technology Are you interested in working with machine
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Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Mathematics and Computer Science, Department of Information Technology Are you interested in working with probabilistic
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Research (CGR) Lab , within the Data Science and AI division, Gothenburg, Sweden. About us The Department of Computer Science and Engineering , a joint department of Chalmers and the University of Gothenburg
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Job description Quantitative analysis of lipid nanoparticles (LNPs) using Cryo EM is challenging due to heterogenous