193 data-"https:"-"https:"-"https:"-"https:"-"Inserm"-"Institut-Agro-Rennes-Angers" positions in Sweden
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-driven Life Science research. More information about NBIS can be found at https://nbis.se. Duties We are seeking a candidate who wants to help enable life science research in Sweden that goes beyond what
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machine data analytics to new harvesting system designs. The Department of forest genetics and plant physiology is part of Umeå Plant Science Centre (UPSC, https://www.upsc.se ), a world leading centre for
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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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27 Feb 2026 Job Information Organisation/Company Linnéuniversitetet Research Field Computer science Researcher Profile First Stage Researcher (R1) Application Deadline 26 Mar 2026 - 12:00 (UTC
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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
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Research FieldChemistryYears of Research Experience4 - 10 Research FieldComputer scienceYears of Research Experience4 - 10 Additional Information Website for additional job details https
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16 Jan 2026 Job Information Organisation/Company Karolinska Institutet, doctoral positions Research Field Medical sciences » Medicine Researcher Profile First Stage Researcher (R1) Application
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research area MERGE (https://www.merge.lu.se ), focused on climate modelling. Aerosol research has been conducted at Lund since the 1970s and is now a designated profile area at LTH (https://www.lth.se
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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models