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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of biodegra
are to optimize an experimental setup for simultaneous tension/compression testing and localized corrosion measurements, including monitoring of local pH and dissolved hydrogen and oxygen concentrations
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Sustainable and Modular Networks (SMN) working group operates in an international
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13.10.2025, Wissenschaftliches Personal We are seeking a Project Manager and Data Scientist (f/m/d) to start at our Weihenstephan/Freising location, starting February 2, 2026, for an initial period
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division 8.5 Planning, performing, and evaluating in-situ/4D computed tomography experiments Developing software for the quantitative evaluation of various image data sets (algorithms for detecting volume
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project. The objectives of this work are to optimize an experimental setup for simultaneous tension/compression testing and localized corrosion measurements, including monitoring of local pH and dissolved
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23 Aug 2025 Job Information Organisation/Company GSI Helmholtzzentrum für Schwerionenforschung Research Field Physics Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The research group "Interactive and Cognitive Systems" investigates artificial and
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! What
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compressed sensing) to determine greenhouse gas and pollutant emissions in cities using atmospheric measurements (MUCCnet: https://atmosphere.ei.tum.de/ ) and in-situ sensor networks in ICOS Cities project