62 phd-computer-artificial-machine-human Postdoctoral positions at Chalmers University of Technology in Sweden
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3 Apr 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Computer architecture Computer science » Other Researcher Profile Recognised
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We are looking for a postdoc to join our team at the Division of Computer and Network Systems. Become part of our innovative group and contribute to exciting research in Computer Architecture within
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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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relation between technology, learning and human agency. The proposed project should contribute to the growing field of Artificial Intelligence in Higher Education by examining the pedagogical, cognitive
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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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: Educational background: A PhD degree in a field relevant to the project, such as applied linguistics, educational psychology, computational linguistics, psychology/cognitive science with a focus on writing, or
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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
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Are you excited about pioneering experimental quantum computing? Do you want to be part of a world-class research environment developing the next generation of superconducting quantum processors? We
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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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organisms. We develop technologies that contribute to human health and biosustainability. About the research project Industrial biotechnology generates large multi-omics datasets and relies on computational