60 computational-physics "https:" "https:" "https:" "https:" "Univ" Postdoctoral research jobs at Chalmers University of Technology
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computational technologies to discover how biomolecules and organisms function and interact. We pioneer new methods for prediction, prevention, diagnostics and treatment of diseases. At the Division of Systems
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and project developers in reusing them in new projects. Taking the Chalmers campus as a starting point, we are developing scalable, AI-powered methods, such as computer vision for street-view imagery
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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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27 Feb 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Engineering » Electrical engineering Engineering » Materials engineering Engineering » Other Physics
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20 Feb 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Chemistry » Analytical chemistry Chemistry » Biochemistry Chemistry » Computational chemistry
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, biomedicine, and sensing. Our research spans carbon-based materials/devices, bioelectronic microsystems, unconventional computing, liquid crystals and nanomaterials for applications such as thermal management
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, including within the master’s programme Systems, Control and Mechatronics. About the research project Without accurate knowledge of the limiting conditions, Li-ion batteries are charged slowly yet still
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-class nanofabrication facilities. The Division of Photonics is a dynamic research environment where light-based technologies drive innovation in communication, sensing, and computing. With expertise in
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We are looking for a postdoc to join our vibrant research group at the Division of Chemical Physics, Department of Physics and Astronomy, to advance knowledge in the field of electrochemical mercury
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combines metabolomics, microbiome science and computational modelling to develop new food intake biomarkers and to understand individual metabolic responses to diet and develop personalized nutrition