2,970 computer-science-intern "https:" "https:" "https:" "https:" "Central European University" PhD scholarships
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Benefits - A comprehensive, interactive and international training programme covering the broader aspects and interface between life science, data science, artificial intelligence and humanities and social
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8th April 2026 Languages English English English The Department of Structural Engineering has a vacancy for a PhD Candidate in computational mechanics Apply for this job See advertisement This is
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stimulating working conditions in dynamic and international research environment. More information at Department of Molecular Sciences | slu.se Read more about our benefits and what it is like to work at SLU
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in the 36 months immediately before your recruitment date (mobility rules of the Marie Skłodowska-Curie program) Masters degree in electrical/electronic engineering, computer engineering, computer science
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electrical engineering, computational engineering, or a related discipline A strong foundation in power system modelling and simulation Solid programming skills (Python, C++, or comparable languages) Interest
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FieldBiological sciences » Biology Additional Information Benefits Training in advanced cell and molecular biology techniques International research collaborations Well-equipped laboratories and in-house core
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and Simulation Group at ICN2 conducts cutting-edge research in computational materials science, focusing on electronic structure methods, atomistic simulations, and multiscale modelling. The group
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the Institute of Health Informatics. The studentships will commence from Oct 2026. About the project Successful applicants will work with the programme coordinator to identify a project and a supervisory team
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available in the further tabs (e.g. “Application requirements”). Programme Description International students holding a Master’s degree in (molecular) biology, (bio-)chemistry, physics, mathematics
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, Department of Computer Science, the Technical Faculty of IT & Design and the Center for Clinical Data Science (CLINDA) and Center for General Practice (CAM), Department of Clinical Medicine, the Faculty