414 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" "IFM" "IFM" "IFM" uni jobs in Sweden
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experimental evolution, microbial ecology, and bioinformatics approaches. The lab works closely with national infrastructures such as SciLifeLab and collaborates with international partners. The position will
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at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), coordinated by
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additional tasks include to improve our main simulation tool (Atmospheric Radiative Transfer Simulator, https://www.radiativetransfer.org/ ), to apply the derived geophysical data for verifying climate models
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located at SciLifeLab in Stockholm , in direct connection with NGI Stockholm . Description of the DDLS Fellows program Data-driven life science (DDLS) uses data, computational methods and artificial
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SciLifeLab Drug Discovery and Developmen t. The department is also responsible for several student courses and offers high-quality education at both undergraduate and advanced levels. Approximately 45 people
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of advancing Swedish academia and industry to the forefront of quantum technology, and to build a Swedish quantum computer. The student contributes to this project to explore fundamental and applied questions in
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Reference number REF 2026-0110 Are you passionate about pushing the boundaries of genomics? We are looking for a Doctoral student to join an exciting project at the intersection of genomics and data
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are united in our efforts to understand, explain and improve our world and the human condition. Description of the workplace The PhD position is within the Quantum Information Theory group led by Armin
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NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by
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Radiative Transfer Simulator, https://www.radiativetransfer.org/ ), to apply the derived geophysical data for verifying climate models and to apply the development on the Arctic Weather Satellite and Sterna