10 computational-mathematics Postdoctoral positions at Chalmers University of Technology in Sweden
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to applied projects linked to societal needs. Key areas include computational mathematics, optimisation, biomathematics, statistics, and data science, supported by an active PhD programme. Our
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» Earth science Environmental science » Water science Environmental science » Other Mathematics » Applied mathematics Technology » Energy technology Technology » Environmental technology Researcher Profile
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, combining the best of two academic worlds in the heart of Gothenburg. At the Division of Applied Mathematics and Statistics we conduct research in computational mathematics, optimisation, biomathematics
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10 Apr 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Programming Computer science » Other Environmental science » Earth science
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22 Apr 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Other Educational sciences » Education Educational sciences » Other Engineering
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in engineering sciences, architecture, mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy for scientific excellence focuses
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28 Feb 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Other Engineering » Control engineering Engineering » Systems engineering
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) Application Deadline 7 Jun 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 funded by a EU programme Is the
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requirements are mandatory: A doctoral degree in meteorology, atmospheric physics, physics, mathematics, or a closely related field. This eligibility requirement must be met no later than the time the employment
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Are you interested in developing machine learning algorithms that provably help us make better decisions? Join us as a post-doc in the Division of Data Science and AI, Department of Computer