212 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "St" "St" positions at Technical University of Munich
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the research group “Science & Technology Policy” of Prof. Dr. Ruth Müller The TUM Department of Science, Technology and Society announces an open PhD Position in STS at the Technical University of Munich (TVL-E
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EdTech Centre. Your Tasks Students increasingly learn with LLMs, but we don’t yet have the tools to tell when that collaboration is effective. This PhD develops computational approaches to characterise
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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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07.08.2025, Academic staff The Chair of Computational Mathematics at the Technical University of Munich (TUM) invites applications for one PhD position. The Chair of Computational Mathematics
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individual career development. More information about the group is available at https://www.ep.mgt.tum.de/en/gia/home. Payment will be based on the Collective Agreement for the Civil Service of the Länder (TV
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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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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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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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. In the ELUD research project, we address the question of if and when learning agents converge to an efficient equilibrium and when this is not the case. ELUD will design new algorithms for computing
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they interact and connect with each other. The doctoral researcher will develop computational indicators that capture these patterns from digital communication data, model how learning relationships form and