278 professor-computer "https:" "https:" "https:" "https:" "https:" "Dr" "St" "St" Postdoctoral positions in Sweden
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22 Jan 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Programming Computer science » Other Engineering » Chemical engineering
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20 Feb 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Chemistry » Analytical chemistry Chemistry » Biochemistry Chemistry » Computational chemistry
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description of the Research Environment The postdoctoral position forms part
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(UTC) Country Sweden Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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Profile Recognised Researcher (R2) Application Deadline 20 Feb 2026 - 22:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department of Chemistry is offering a postdoctoral
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that develops new knowledge and innovative solutions for sustainable working life in an ageing population. The work is conducted in close cooperation with the Professor Ageing and Later Life and other researchers
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international research collaborations to generate cutting-edge research and outreach to further ecology as science and promote sustainable agriculture. More about the Department: https://www.slu.se/en/departments
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and Software Program). WASP | Wallenberg AI, Autonomous Systems and Software Program which is Sweden’s largest individual research program ever, a major national initiative for strategically motivated
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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