129 computational-physics-"https:"-"https:"-"https:"-"CEA-Saclay" PhD positions in Denmark
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, a Ph.D. stipend is available within the general study program. The Ph.D. stipend is for 3 years. The workplace is at the Department of Chemistry and Bioscience in Aalborg, where you will become part
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of Computer Science, the Technical Faculty of IT & Design. We invite applications for two fully funded PhD stipends in the area of Natural Language Processing (NLP), Knowledge Graphs (KGs), and Large Language Models
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Do you have an interest in working at the intersection of glass science, computational chemistry, and materials science to develop fundamental understanding within a novel glass family? If yes, we
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collaboration with the Department of Computer Science at Aalborg University, combining socio-technical research on human-robot collaboration with technical research on interaction technologies and robotic systems
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learning Distributed and federated training The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another
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computing. The position offers an exciting opportunity to join a cutting-edge research project focusing on the co-design of CMOS and spintronic devices for next-generation energy-efficient and non-von-Neumann
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account for molecular interactions in electrolyte solutions, including complex chemical reactions; (2) to enable real-time CO2 storage process simulations by optimizing the framework’s computational
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if the process overall runs most efficiently with high tar load before the POX or if a low tar load is preferred. Modelling (chemical engineering models, computational fluid dynamics and/or models with detailed
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background in computer science, chemistry, physics, materials science, or a related field. Experience with deep learning frameworks, preferably in the context of generative models. Experience with atomistic
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computational challenges. This PhD project will investigate novel registration strategies for ultrasound-derived musculoskeletal point clouds. The work will focus on developing geometry-aware alignment methods