228 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at Technical University of Munich
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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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Scientific Personnel 02.03.2026, Academic staff To meet the advanced instrumentation needs of the BioSysteM cluster of excellence, BioSysteM is establishing a Technology Hub staffed with dedicated
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or mechanical engineering well above average and you should have experience in designing, building and testing/flying of UAV concepts or model airplanes. Fundamental knowledge of the key disciplines in aerospace
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embedded into the quantum technology network formed by WMI, the Excellence Cluster MCQST (www.mcqst.de), the TU München (www.tum.de), Munich Quantum Valley (https://www.munich-quantum-valley.de/), and many
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Profile Essential Qualifications Master’s degree (or equivalent) in Mechanical/Civil/Computational Engineering, or related. Strong background in numerical methods in engineering, computational mechanics
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molecular level. To yield new insights into food-effector systems, sophisticated and tailored computational methods are needed. This project aims at leveraging graph-theoretic approaches to analyze and
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tailored computational methods are needed. This project aims at combining probabilistic machine learning methods with prior knowledge in the form of graphs to analyze and predict food-effector systems. Key
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efficiency measurement at various levels, - policy design and impact analysis, - resource allocation, growth and welfare evaluation, - technology diffusion and firm level innovation. leading
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20.01.2026, Academic staff In the framework of the DFG priority program 1374 "Biodiversity Exploratories" We invite application for a (www.biodiversity-exploratories.de) the Arthopods project is
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societal aspects (ELSA) of NeuroAI in the life sciences and biomedicine. The project focuses on (i) neu-romorphic computing inspired by the human brain and (ii) AI-enabled neurotechnologies for clinical and