75 parallel-computing-numerical-methods positions at Chalmers University of Technology
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computational modelling and electronic-structure methods. Experience in programming and machine learning What you will do Take courses at an advanced level within the Graduate school of Physics orMaterials
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Do you want to be involved in world-class research on next-generation battery concepts and play a central role in advancing our experimental methods and laboratory capabilities? Join us as a
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, computational, and theoretical methods are developed and used to meet a multitude of research challenges. As a Doctoral student, you will be associated with one of our graduate schools . The Department of Physics
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international collaborations and access to large, high-quality clinical datasets. About us The Computer Vision Group at the Department of Electrical Engineering conducts research in the field of automatic
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aim to develop methods for local transformation of the built environment and organisational development. The outcome is expected to be academic publications in high-impact journals and implemented
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value chains. In the Division of Material and Computational Mechanics we foster an inclusive, friendly, and helpful work environment to which we welcome you to contribute. Our activities focus
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We are currently offering two doctoral student positions focused on developing novel AI-driven methods for polymer design and engineering, with an emphasis on the discovery and design of polymeric
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2026 - 12:00 (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 Is the Job related to staff position within
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the local and distant universe. You will join a vibrant and collaborative research environment that combines observations, theory, and data-intensive methods to explore key processes shaping galaxies and
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products. We use advanced computational technologies to discover how biomolecules and organisms function and interact. We pioneer new methods for prediction, prevention, diagnostics and treatment of diseases