261 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "St" "University of St" Postdoctoral positions in Sweden
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First Stage Researcher (R1) 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
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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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to decline direct contacts from staffing- and recruitment companies as well as vendors of job advertisements. URL to this page https://web103.reachmee.com/ext/I011/853/main?site=7&validator
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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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). Link to log in and apply https://kth.varbi.com/se/what:job/jobID:880654/ About the employment The position offered is for, at the most, two years. A position as a postdoctoral fellow is a time-limited
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it effect engagement and learning. For more information about the Akelius Math Learning Lab, see: https://www.chalmers.se/institutioner/mv/akelius-math-learning-lab/ Who we are looking
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the tools of computational biophysics. Our research group is highly interdisciplinary, using everything from quantum chemistry, conventional and enhanced sampling molecular dynamics simulations, generative AI
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Job description The Koplev lab is recruiting an outstanding and ambitious postdoctoral researcher in computational
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For more information about Precillience, see: https://www.precilience.eu Read more about our benefits and working at SLU by visiting https://www.slu.se/en/about-slu/work-at-slu/ Location Uppsala Type
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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