14 phd-computer-engineering PhD scholarships at Chalmers University of Technology in Sweden
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Join the cutting-edge RAM³ project: Unlocking the Potential of Recycled Aluminium through Machine Learning, High-Throughput Microanalysis, and Computational Mechanics. We are offering a PhD position
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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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This is a call for a PhD position in the Data Science and AI division at the Department of Computer Science and Engineering (CSE) , Chalmers University of Technology. The department
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Looking for your next challenge? Become a part of a team that’s driving change and innovation every day. This PhD position is part of the WASP-WISE NEST project RAM³ – a multidisciplinary research
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cross-layer defenses that ensure secure and efficient AI model development at scale. Information about the division The department of Computer Science and Engineering is strongly international, with
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. Qualifications To be eligible for a PhD position, you must: Hold, by the starting date, a Master's-level degree corresponding to at least 240 higher education credits in Computer Science and Engineering or a
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vulnerabilities and proposing effective defenses, the project seeks to make the next generation of the Internet more secure, resilient, and trustworthy. About us The Department of Computer Science and Engineering
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We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims
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Are you passionate about upgrading housing and building production in Sweden while fostering sustainability, circularity, and resource efficiency? This PhD project aims at investigating how Swedish
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We are looking for a PhD candidate fascinated by the response of quick clays that can change from solid to liquid with small environmental perturbations. We want to be able to understand how a