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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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Are you interested in developing computational tools to understand the detailed mechanical behaviour of multi-phase materials? Then this PhD position at Chalmers University of Technology might be
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(masterexamen) of 120 credits or a Master’s degree (magisterexamen) of 60 credits in Electrical Engineering, Communication Engineering, Engineering Physics, Computer Engineering or similar, with a strong
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failures. We offer access to unique experimental data and computational tools developed by our research team for addressing a timely societally relevant problem. Project overview The aim is to unravel
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changing environment will affect the stability of quick clays, and the probability of triggering catastrophic failures. We offer access to unique experimental facilities and computational tools developed by
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Science (IMS) We have strong collaborative networks and host our own advanced research facilities and labs, performing excellent research, education, and innovation in Sweden, Europe, and globally. About
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boundaries and towards circularity, resource efficiency and net positivity. In this fully funded PhD student position, which is part of the Formas-financed project “FRESH: Future REgenerative production
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Join us for an exciting and excellent PhD journey to create the future of maintenance! Explore the fascinating future of Net Zero industries where complex and highly automated equipment need
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-terrestrial networks where communication signals will be linked via satellites. A portion of the communication signals will be reflected from the Earth's surface and can be received by satellites in the same
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), the position includes academic and industry secondments (DTU Compute and Danfoss Power Electronics), and access to a dynamic European research network. The fellowship offers exceptional opportunities