229 computer-science-intern "https:" "https:" "https:" "https:" "U.S" positions at Technical University of Munich
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administration, industrial engineering, business informatics, or economics), informatics, or natural sciences/engineering with an outstanding degree (resp. graduation shortly) Internships or other professional
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18.03.2026, Academic staff Location: Marsstraße 20-22, 80335 München Start date: As soon as possible Working hours: 8h/week Website: https://www.edu.sot.tum.de/en/lsdesign/welcome/ About Us The
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10.03.2026, Academic staff The professorship for “Governance in International Agribusiness” affiliated with the TUM School of Management and the TUM School of Life Sciences offers a Ph.D. position
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Europe • Membership in the International Graduate School of Science and Engineering (IGSSE) and participation in the course program (https://www.igsse.gs.tum.de/en/igsse/about/) • IGSSE-funded doctoral
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Informatics Initiative (MII)/FHIR standards Design and implement methodological concepts and software for benchmarking frameworks for AI evaluation Independently develop and implement research ideas within
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research in a diverse and impact-oriented atmosphere. The Chair Group of Production and Resource Economics offers a highly international and stimulating work environment that promotes individual creativity
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knowledge of the German language besides English. If interested, please send your full application to the email adress provided below. At the Mechanics & High Performance Computing Group, there is an open
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the possibility of extension, depending on performance and project needs. Qualifications • For Doctoral Candidates: Master’s degree in Computer Science or Mathematics. • For Postdoctoral Researchers: Ph.D. in
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19.01.2026, Academic staff We are looking for a Ph.D. student, and 2 Postdocs in Mechanical/NanoMaterials Engineering for an EU project, TV-L E13, full-time Phase change and industrial relevance
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in Toulouse, led by Professor Mar Perez-Sanagustin. Your Profile • Completed Master’s degree (or equivalent) in a STEM discipline (e.g., mathematics, physics, biology, computer science), data