30 distributed-computing-associate-professor Postdoctoral research jobs at Chalmers University of Technology
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2 Oct 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science Researcher Profile Recognised Researcher (R2) Country Sweden Application Deadline 15
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details to references will be requested after the interview. Application deadline: 31 December, 2025 For questions, please contact: Associate Professor Mebtu Beza Division of Electric Power Engineering
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Application Deadline 29 Nov 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 304--1
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Professor Department of Chemistry and Chemical Engineering angela.grommet@chalmers.se *** Chalmers declines to consider all offers of further announcement publishing or other types of support for
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application no later than 22 January, 2026. For questions, please contact: Professor Anette Larsson, Applied Chemistry, Chemistry and Chemical Engineering anettel@chalmers.se +46 730791166 *** Chalmers declines
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: Associate Professor Alexandra Stubelius, Chemical Biology, alexandra.stubelius@chalmers.se. 031-7724101 We look forward to your application! *** Chalmers declines to consider all offers of further
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to references will be requested after the interview. We welcome your application no later than January 30th. For questions please contact: Kristina Wärmefjord Professor kristina.warmefjord@chalmers.se We look
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details to references will be requested after the interview. We welcome your application no later than January 13, 2026 For questions please contact: Assistant Professor Julia Maibach, Materials Physics
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(starting date flexible). We develop state-of-the-art computational methods and take a leading role in our field. The successful candidate can therefore expect to contribute at the international forefront
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groups working towards a common goal. For this postdoc project, we seek a dynamic and motivated candidate with an interest in computational electromagnetism, inverse design, and/or machine learning in