269 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" Postdoctoral research jobs in Sweden
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24 Jan 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Other Language sciences » Linguistics Language sciences » Other Psychological
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30 Jan 2026 Job Information Organisation/Company Karolinska Institutet (KI) Research Field Medical sciences » Medicine Researcher Profile First Stage Researcher (R1) Application Deadline 11 Feb 2026
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18 Jan 2026 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Electrical Engineering Research Field Chemistry Engineering Computer science
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that you will help us to build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence subject (RAI) (www.ltu.se/robotics ) at the Department of Computer Science
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that you will help us to build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence subject (RAI) (www.ltu.se/robotics ) at the Department of Computer Science
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Department of Microtechnology and Nanoscience (MC2) hosts a unique environment for research and education in photonics, microwave engineering, quantum technologies, and nanofabrication. Our research is
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11 Jan 2026 Job Information Organisation/Company Lunds universitet Department Lunds universitet Research Field Chemistry Researcher Profile Recognised Researcher (R2) Country Sweden Application
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Biology Research Field Medical sciences Researcher Profile Recognised Researcher (R2) Application Deadline 20 Mar 2026 - 22:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job
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13 Feb 2026 Job Information Organisation/Company Luleå University of Technology Research Field Engineering Researcher Profile First Stage Researcher (R1) Application Deadline 6 Mar 2026 - 12:00 (UTC
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. The postdoctoral scholar will take a leading role in the the BeeSYNC project, focusing specifically on: Computational Natural History. The researcher will develop deep learning models to predict individual bee age