63 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Multiple" "https:" PhD scholarships at Technical University of Munich
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interaction-rich scenarios. Ideal applicants will have a strong M.Sc. in machine learning, control, or safety, and hands-on experience with robotics. Apply now: https://lnkd.in/dNjmv835. Deadline: ASAP. We
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, we are currently looking for a committed PhD Student to start on 15/01/2026. The position is part-time (TV-L 13, 65%) and initially limited to 3 years. Research project Advancements in structural
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Manipulation in Cluttered and Dynamic Environments (ID: TUEILSY-PHD20240930-SCMM) A more detailed topic description can be found at https://www.ce.cit.tum.de/lsy/open-positions/open-phd-positions/ . Requirements
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) in an experimental model of multiple sclerosis (MS). This project builds on recent findings from the phase III Hercules trial (Fox et al., NEJM 2025) showing therapeutic effects of BTK inhibition in
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management of bridge portfolios. You will create tools that transform complex data into reliable insights for infrastructure safety and sustainability. The project is a collaboration between the Engineering
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. To this end, methods are first to be developed and established. Your Profile You ideally bring the following with you: • Excellent master's degree in food chemistry, food technology, biochemistry, biophysics
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exclusion study in Southern Germany which has undergone long-term drought treatments since 2014 (KROOF: https://www.lss.ls.tum.de/en/lsai/kroof/). You will use this unique experimental setup, in which drought
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the BMBF. ▪ You will contribute to the daily operations of our new experimental laboratory at the Center for Quantum Engineering (ZQE – www.zqe.tum.de). ▪ You will supervise and mentor Bachelor’s and
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list of what TUM offers: https://www.gs.tum.de/en/gs/community-diversity/welcome-services/ Qualifications and Interests: Master's degree in Economics, Psychology, Behavioral Science, Social Science
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(https://soilsystems.net/ ), a Priority Programme (SPP 2322) funded by the Deutsche Forschungsgemeinschaft (DFG; German Research Foundation). Within SoilSystems, scientists from different disciplines from