65 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs at Technical University of Munich
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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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Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Research in
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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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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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learning • Programming skills (e.g., Python, R) • Interest in interdisciplinary research at the intersection of data analysis and learning sciences • Interest in education and learning as an
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to co-authored publications. You will work along a structured project plan with clear milestones for each semester. As part of the doctoral studies at TUM Graduate Center (LINK), you will learn
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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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• Proficiency in statistical or programming tools (e.g., R, Python) • Interest in education and learning as an application domain • Ability to work independently • Demonstrated academic writing
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. in the field of Artificial Intelligence Methods for the purpose of Space observations and operations based on Event Camera technologies. Proficiency in programming languages such as Python, C
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-cell communication, and cellular plasticity—all without destroying the sample. (https://www.cell.com/cell/fulltext/S0092-8674(25)00288-0 , https://www.biorxiv.org/content/10.1101/2024.11.11.622832v1