16 computational-physics PhD positions at Chalmers University of Technology in Sweden
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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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(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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performance. Funded by the Swedish Research Council, this research is hosted at the Division of Chemical Physics. About us The research at the division of Chemical Physics at Chalmers University of Technology
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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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involve parametric and computational design in Grasshopper, physical computing and digital sensing, robot toolpath design and optimization, as well as custom programming in Python or other languages. Your
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
, you’ll also join WASP —Sweden’s largest individual research program ever, offering unparalleled resources, networking and career opportunities. Be part of shaping the future of AI! Project overview
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Effective use of AI and AI agents requires high quality data. This research is concerned with studying what data companies should collect, how they should process it, where to store it and how
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of the technology in the companies in Software Center. About us The Department of Computer Science and Engineering at Chalmers and University of Gothenburg in Sweden with approximately 300 employees from more than
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technology, building physics, HVAC systems, computer science and control systems architecture, thereby advancing all disciplines involved. The project is a collaboration with Building Services Engineering
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operation Quantum algorithm implementation and benchmarking About you You have a relevant Masters deegree corresponding to at least 240 higher education credits (Physics, Nanotechnology, Engineering, Computer