207 computer "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Technical University of Munich
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/11250664 https://www.jmlr.org/papers/v26/25-1161.html Job Specifications For PhD applicants: Excellent Master’s degree (or equivalent) in engineering, computer science, or related disciplines (typically
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the School of Engineering and Design and the School of Computation, Information and Technology. You will help us to prepare teaching material, serve as teaching assistant in our lectures, support lab courses
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26.03.2026, Academic staff Doctoral Candidate f/m/d in computational proteomics/bioinformatics with a focus on plant proteomics Candidates must hold a master´s degree in Data Engineering, Data
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the TUM School of Management (https://www.mgt.tum.de/de/faculty-research/doctoral-program) Requirements Master's degree in economics or a related discipline with very good results Solid knowledge
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for admission to a Ph.D. program at TUM. More infor-mation on a doctorate at TUM can be found on the websites of the TUM Graduate School and of the Graduate Center of Engineering and Design. What we offer Full
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application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: friedrich.esch@tum.de More Information http://www.ch.nat.tum.de/pc
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that you have acknowledged the above data protection information of TUM. Kontakt: Prof. Annette Diefenthaler, applications.mdi@tum.de More Information http://www.mdi.tum.de
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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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application (motivation letter, CV, certificates, references, and publications) by 13 April 2026 to the following form: https://wkf.ms/4beNUNa Equal opportunity: The Technical University of Munich seeks
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. Experience in programming (in particular, Python) and an interest in machine learning, data analysis, or scientific computing are expected. Prior experience with machine learning or optimization methods is