276 computer-engineer "https:" "https:" "https:" "OsloMet storbyuniversitetet" Postdoctoral positions in Sweden
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9 Jan 2026 Job Information Organisation/Company Umeå universitet stipendiemodul Department Faculty of Science and Technology, Department of Chemistry Research Field Chemistry » Inorganic chemistry
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analytical perspectives. The cluster is part of the national research programme The Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS), funded by the Wallenberg Foundations
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Stage Researcher (R1) Application Deadline 2 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? Other EU
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pioneering cyber resilience across the AI lifecycle. The research program focuses on four key themes: Trustworthy and Verifiable AI, Runtime Security Assurance, Robust and Secure AI-Supported Development, and
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Workplace description A vacant position is available in the Cell, Tissue and Organ Engineering research
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15 Jan 2026 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Chemistry, Department of Chemistry
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Wave , Department of Microtechnology and Nanoscience, focused on innovative research in terahertz technology. About us The Department of Microtechnology and Nanoscience advances the frontiers in quantum
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, applied physics, heat transfer, computational engineering, or a closely related field. The doctoral degree must be completed before the employment decision is made. Priority is given to candidates who
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, Karolinska Institute, the Royal Institute of Technology (KTH), and Linköping University. Project description The Forsell research group at the Department of Clinical Microbiology, Umeå University, is seeking a
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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