24 assistant-professor-computer-science-data-"https:"-"https:"-"https:" positions at SciLifeLab
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application! Work assignments We are seeking a Senior Associate Professor in Medical Data Analytics. This position offers significant responsibility within one of Sweden’s key infrastructures for data-driven
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and biophysics, at Stockholm university. For more information about us, please visit: www.dbb.su.se . Main responsibilities At the SciLifeLab and Wallenberg National Program for Data-Driven Life Science
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The Department of Cell and Molecular Biology (ICM) (https://icm.uu.se) is organized into seven research programs, each focusing on distinct areas within cell and molecular biology i.e. computational
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exploring during your PhD. Your workplace You will be employed in the research group led by Associate Professor Wen Zhong , fellow in the Swedish national program for Data-Driven Life Science (DDLS
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molecular biology, comprising millions of images and extensive molecular measurements. All data are released openly and widely used by researchers worldwide. The Alpha Cell program is recruiting a
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Metabolomics and Exposomics Platform within SciLifeLab. You will join a team with complementary expertise in analytical chemistry, mass spectrometry, metabolomics and data analysis. You will conllaborate with
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professor. Specific criteria for promotion from assistant professor to associate professor have been established by the Faculty of Science. An application for promotion to associate professor should be
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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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information about us, please visit: www.dbb.su.se . Main responsibilities The Research assistant will be responsible for preparing and characterizing liposomes in vitro, as well as analysing bilayer properties
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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