60 geotechnical-engineering-post-doc PhD positions at Technical University of Munich in Germany
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”. Please submit your application exclusively by e-mail with the subject line “Application Alpine Center” no later than 05 October 2025 to Prof. Dr. Menzel (sekretariat.ecoclim@ls.tum.de). For questions about
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world. The workflow spans from analytical chemistry to material science and engineering. There is no need for previous knowledge in the described fields but a strong motivation to learn and push the boundaries of our
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cooperation with Kopter Germany GmbH and the Engineering Risk Analysis Group of Prof. Straub, which provides information on both the health and the actual stress of helicopter components. For this so-called
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are therefore ex-pressly welcomed <>< b=""><> Please send your application with relevant documents by August 28 2025 at the latest to: Technical University of Munich Chair of Ecosystem Dynamics and Forest
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21.10.2021, Wissenschaftliches Personal PhD Position at TUM Department of Science, Technology & Society (65% for 3 years) within a DFG-funded research project led by Dr. Susanne Koch and affiliated
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its staff; applications from women are therefore expressly welcomed Contact Please send your digital application, consisting of a complete CV and a concise motivation letter, as one PDF named
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PhD Position in Theoretical Algorithms or Graph and Network Visualization - Promotionsstelle (m/w/d)
), 30 days of paid vacation, and full access to health insurance and social benefits. The working environment is international, supportive, and highly interdisciplinary. To apply, please send a cover
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to the following programs and mention Niki Kilbertus as possible supervisor: If you plan to start before May 2026 (and only then), send your application as a single PDF in English to niki.kilbertus@tum.de with
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degree in a technical field (mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and
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technical field (mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and behavior planning