26 medical-computer-research Postdoctoral positions at Chalmers University of Technology
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Application Deadline 4 Oct 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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Are you passionate about advancing high-energy physics? Join our internationally recognized team at Chalmers University of Technology and contribute to cutting-edge research in particle physics and
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Application Deadline 9 Oct 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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23 Aug 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Physics » Computational physics Researcher Profile Recognised Researcher (R2) Country Sweden
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Application Deadline 28 Sep 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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fundamental questions about the particles and forces governing our Universe to energy-related research. The methods of our investigations are also diverse and complementary, and range from theory and computer
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, mentorship, and impactful research. About us The Department of Computer Science and Engineering (CSE) Chalmers/University of Gothenburg drives cutting-edge research in machine learning and its application
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We invite applications for a postdoctoral position in theoretical physics within a project on cavity-coupled quantum dots. The research is interdisciplinary, spanning quantum transport, quantum
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The Automation research group at the Department of Electrical Engineering is recruiting a postdoc to contribute to advanced research in discrete-event systems. We are an internationally renowned
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We are seeking a highly motivated and skilled Postdoctoral researcher with interdisciplinary expertise to develop risk assessment and mitigation models using Large Language Models (LLMs