261 computational-physics "https:" "https:" "https:" "https:" "LaTIM Brest" Postdoctoral research jobs in Sweden
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First Stage Researcher (R1) Application Deadline 13 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
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job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a
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-throughput computational screening methods for alloy design, experimental alloy production (casting and/or AM), testing and characterisation of the thermo-physical and mechanical properties of the designed
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23 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 programme Is the Job related
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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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(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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visit https://www.euraxess.se/jobs/392999 The interviews will start in April/May 2026. For more information about AMBER, application and evaluation process etc please visit: ambercofund.eu
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distributed WaRM experiment (for details see here: https://onlinelibrary.wiley.com/doi/10.1002/ece3.9396). The employment is fulltime for three years. The deadline for applications is March 26, 2026 and the
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27 Jan 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Engineering » Electrical engineering Engineering » Other Physics » Optics Physics » Other Technology
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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