918 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "St" positions in Sweden
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Deadline 2 Apr 2026 - 21:59 (UTC) Country Sweden Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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- 21:59 (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 programme Is the Job related to staff
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Researcher (R3) Application Deadline 15 May 2026 - 21:59 (UTC) Country Sweden Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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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 Post doctor within mucosal B cell immunology “The Department
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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 Centre for Mathematical Sciences at Lund University, Faculty of Engineering
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Scientist to improve the data analysis experience within the MAX IV computing environments. The successful candidate will contribute to developing and supporting the overall software ecosystem for data
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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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28 Feb 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Architecture » Design Computer science » Other Engineering » Other Language sciences » Linguistics
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integration into SasView. Required qualifications Ongoing university studies in physics, applied mathematics, computer science, engineering, or a related field Programming experience in Python Good
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Information Science (GIS), and computational science for health and environment, to study processes spanning from the microscopic to the planetary, across all time scales. The Inverse Modelling group at the Department