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Institute) for the development of high-throughput omics assays, Kevin Verstrepen (VIB-KU Leuven) for synthetic biology, and Julien Gagneur for the AI and bioinformatics. EPIC aims at deciphering the complete
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) to work on the development of an Amazonian Early Warning System (AmEWS) integrating Earth Observation data, process-based ecosystem models, and advanced machine learning approaches. The position is embedded
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, multi-component molecular chaperone machines and the question how membrane protein chaperones recognize and process clients on a molecular level. The project has the potential to provide exciting new
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reproducible research practices. Your responsibilities Develop and implement computer vision and image processing algorithms for star tracking and satellite detec-tion using event cameras. Design and build a
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information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR). ( Datenschutzhinweise gemäß Art. 13 Datenschutz
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Processes (MDPs) and stochastic dynamic programming Risk-sensitive and robust optimization Learning-based approaches (e.g., reinforcement learning, inverse learning) Numerical validation using real-world
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of the application process. As part of your application, you provide personal data to the Technical University of Munich (TUM). Please view our privacy policy on collecting and processing personal data in the course
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06.02.2026, Academic staff The Laboratory of Chemical Process Engineering at TUM's Campus in Straubing is looking as soon as possible for a Ph.D. student (f/m/d) for Oxygen Management in
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teaching projects Your qualification: • Studies (with Master or PhD degree) of mathematics, statistics, bioinformatics, epidemiology or related subjects. Applicants expecting to finish their studies within
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, prototyping, facilitation, and knowledge visualization, with a strong interest in transformative technologies and societal change. Requirements: Necessary: Design process & methodological expertise — ability