66 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" PhD positions 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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motivation and CV in a single PDF to: claus.schwechheimer@tum.de The position is available instantly and will remain open until filled. Further information: https://www.mls.ls.tum.de/en/plasysbio/home
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: Dr. Phil Richter (p.richter.leibniz-lsb@tum.de) or Prof. Dr. Veronika Somoza (v.somoza.leibniz-lsb@tum.de) More information on the working group can be found here: https://www.leibniz-lsb.de/en
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academic performance. Experience with stochastic methods, risk and reliability analysis, and data analysis. Programming experience in Python, MATLAB, C/C++, or a similar language. Strong analytical
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be supervised by Prof. Xiao Xiang Zhu (SiPEO, TUM), and Dr. Jie Zhao acts as the day-to-day supervisor, with close collaborations inside TUM (The chair of Hydrology and River Basin Management
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an interdisciplinary career skills programme across Europe. The Technical University of Munich (TUM) is one of the best universities in Europe. It is characterised by excellence in research and teaching
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autonomous systems Fluent English (spoken and written); German proficiency is a strong plus Ability to work independently, willingness to learn and acquire new competence Strong programming skills (Python, C
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to design and evaluate programs that enhance community wellbeing. The project is a collaboration between the University of Global Health Equity (Rwanda), TUM, NYU Abu Dhabi, and the Government
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that are technically well-grounded and at the same time represent stakeholder preferences. The integrated Research Training Group (RTG) will provide doctoral researchers with an attractive qualification program, foster
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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