24 computer-science-"https:" "https:" "https:" "https:" "https:" "https:" positions at Technical University of Munich
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, Referenzen und Abschlussarbeiten. Am Lehrstuhl für Decision Sciences and Systems im Department of Computer Science der Technischen Universität München (TUM) ist in der Arbeitsgruppe von Professor M
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-2022-NAHS.pdf Job Specifications For PhD applicants: Excellent Master’s degree (or equivalent) in computer science, engineering, or related disciplines (typically mathematics, physics). For Postdoc
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publishing • Teaching duties Your qualifications: • Completed academic PhD in Computer Science, Geoscience, Physics, Data Science, or comparable subjects • Experience in machine learning (ML
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instructions on our application platform: https://application.vc.in.tum.de/ TUM and VC & AI Lab: The Technical University’s computer science department is the Top-1 ranked computer science department in
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und Stellenangebote > Academic staff > Doctoral and Postdoctoral Positions in Computer Science @ TUM Back to News Board Browse in News Doctoral and Postdoctoral Positions in Computer
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/index-en.html), fluid flow (NekRS, OpenFOAM), and plasma physics (XGC, IPPL). Expected qualifications: A Master's degree in Computer Science or Applied Mathematics. Necessary knowledge: Modern C++, GPU
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mathematical background (e.g., linear algebra, optimization, formal methods, convex geometry). 2. Master’s or PhD in Computer Science, Electrical Engineering, Control Systems, or a closely related field
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background in mathematics, computer science, or machine learning. The work has a strong focus on developing new objectives or new architectures for medical deep learning and on new ways to measure what
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instructions: https://www.ch.nat.tum.de/en/tms/jobs/ We are seeking two Research Associates (f/m/d) to work on the methodological development and application of advanced electronic-structure approaches, with the
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problems and specifically invite applications by members of underrepresented groups in Computer Science. Research focus Position 1 in Efficient Algorithms Design and analysis of efficient algorithms