72 postdoc-in-system-identification PhD positions at Technical University of Munich in Germany
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collaboration with the other group members including Niki and external collaborators. Niki’s primary goal is to empower you to become a creative, independent researcher, ready to lead your own group in the future
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PhD Position in Theoretical Algorithms or Graph and Network Visualization - Promotionsstelle (m/w/d)
31.07.2025, Wissenschaftliches Personal The Chair for Efficient Algorithms, led by Prof. Stephen Kobourov, is inviting applications for a fully funded PhD position at the Technical University
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for a part time position (75%) for an initial period of three years as soon as possible: About us The TUM Campus in Heilbronn is part of the renowned Technical University of Munich, which is one
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The Chair of Non-Destructive Testing (www.zfp.tum.de) is devoted to research and teaching in the field of material characterization using non-destructive testing methods. The focus of the chair includes
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international network. This project is offered as part of a Hans Fischer Senior fellowship through the TUM Institute for Advanced Studies (https://www.ias.tum.de/ias/start/ ) and will be co-supervised by
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16.07.2025, Wissenschaftliches Personal A PhD position (75% TV-L E13, to be extended to 100% after 8 months) in discrete optimization is available at the Professorship of Optimization and
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Zentrum München (HMGU), Germany, is the ideal environment for you! In flow probing of absorption profiles of medically relevant cell types is a critical diagnostic asset. The Cell Engineering lab
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21.07.2025, Wissenschaftliches Personal The Leibniz Institute for Food Systems Biology at the Technical University of Munich (Leibniz- LSB@TUM) is a research institution of the Leibniz Association
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30.06.2025, Wissenschaftliches Personal The Chair of Software Engineering for Business Information Systems (sebis) at the Technical University of Munich is looking for outstanding candidates
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to remote sensing and simu-lation modeling. A particular focus of our work is on mountain forest ecosystems. A quantitative understanding of ecosystem dynamics provides the foundation for the development