41 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "https:" research jobs in Sweden
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Established Researcher (R3) Application Deadline 2 Apr 2026 - 21:59 (UTC) Country Sweden Type of Contract Not Applicable Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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28 Feb 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Other Engineering » Control engineering Engineering » Systems engineering
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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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Recognised Researcher (R2) Application Deadline 12 Apr 2026 - 21:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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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 at the Division of Biomedical Engineering Department of Materials
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without inducing unacceptable hot spots in healthy tissues. Parallel to developing the clinical prototype of the device, it is essential to assess the safety of the therapy by systematically investigating
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Researcher (R2) Application Deadline 26 Mar 2026 - 22:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your
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15 Jan 2026 Job Information Organisation/Company Örebro University Research Field Computer science » Other Researcher Profile Recognised Researcher (R2) Application Deadline 11 Mar 2026 - 22:59 (UTC
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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