42 postdoctoral-fluid-dynamics Postdoctoral positions at Technical University of Munich
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for a Scientific Researcher with the possibility of doctorate/postdoctoral researcher: Advanced inverse modeling of greenhouse gases and air pollutants (E13 TV-L, 100%) The position is initially limited
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—such as engine load, fuel flow, and environmental conditions—to optimize combustion and propulsion strategies. This dynamic adjustment ensures that hydrogen, with its unique properties like high flame speed
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06.09.2021, Wissenschaftliches Personal The Institute for Communications Engineering is currently offering seven positions for PhD or postdoctoral candidates for the project "6G-life" which is
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07.12.2022, Wissenschaftliches Personal The institute for communications engineering offers a position for a doctoral or young postdoctoral candidate with the topic “Communication and coding in
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of the present project is to uncover how collective dynamics and signal-ing feedbacks drive robust pattern formation during early development. We apply advanced stem cell culture approaches, 3D organoid
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experience and collaborations with Volkswagen, Deutsche Bahn, SSI SCHÄFER, and various “hidden champion” companies in Germany and abroad. Our group envisions production as a dynamic, interconnected ecosystem
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spoken. Why Join Us? Conduct pioneering research in Human-AI Interaction and Computational Interaction. Work in a dynamic, collaborative environment with leading experts. Access state-of-the-art facilities
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Learning Formal Methods Dynamical Systems Control Theory Context The applicant will be directly advised by Prof. Matthias Althoff (https://www.ce.cit.tum.de/cps/members/prof-dr-ing-matthias-althoff
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Eignung, Befähigung und fachlicher Leistung bevorzugt eingestellt. ENGLISH: We invite applications for one Postdoctoral and one PhD position in the field of quantum simulation. The successful candidates
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interdisciplinary team. Applicants with strong background in the following fields are preferred: Dynamical Systems Control Theory Formal Methods Machine Learning Context The applicant will be directly advised by Prof