76 web-programmer-developer-"LIST" "https:" "https:" "https:" 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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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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Scientist/Steward or Software Developer (f/m/d) to facilitate the development of ProteomicsDB with a good background in bioinformatics, data visualization, big data analytics at best in the context of mass
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Manufacturing in Construction (AMC; https://amc-trr277.de/), we developed the AMC Edu:Lab. AMC investigates innovative 3D printing methods, materials, and designs to promote sustainability in construction
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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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31.03.2026, Academic staff The Professorship of Biothermodynamics at the TUM School of Life Sciences is seeking a Research Associate to work on the development of sustainable, functional, bio‑based
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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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dynamic team. As part of the newly funded ERC Synergy consortium EPIC, you will develop scalable and robust software to train and apply AI models for regulatory genomics. About us The Chair of Computational
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the area of strategy&global contexts. Our research addresses strategies, transformations, and firm success. We strive to provide insights critical to business practice and to further develop strategic
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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