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                body organs. We are looking for a PhD student (m/f/d) to start at the TUM between now and March 2023. Your Task From animals’ circulatory system to random porous media in fuel cells, morphological 
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                23.09.2024, Wissenschaftliches Personal The research group of Prof. Marc Schmidt-Supprian at the Institute of Experimental Hematology is seeking a highly motivated PhD student starting from now 
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                28.11.2024, Wissenschaftliches Personal Three funded PhD student positions are available at the Chair of Plant Systems Biology at the School of Life Sciences of the Technische Universität München in 
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                distribution within body organs. We are looking for a PhD student (m/f/d) to start at the TUM in September or later. Your Task From animals’ circulatory system to random porous media in fuel cells, morphological 
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                11.11.2024, Wissenschaftliches Personal In the project “BIG-ROHU” (BIG Data - Rotor Health and Usage Monitoring), a system is being developed which provides information on both the health and the actual stress of helicopter components using a data-based as well as a physics-based approach. In... 
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                06.02.2024, Wissenschaftliches Personal The Livestock Systems research group at the TUM School of Science in Freising is recruiting a PhD student (m/f/d) to work on evaluating smart technologies 
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                : henriett.kakonyi@tum.de More Information https://www.ie.mgt.tum.de/tim/news/article/new-phd-position-at-the-tim-chair-1/ 
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                PhD position | Sustainable Energy Materials | Electrochemistry 30.06.2023, Wissenschaftliches Personal We test novel catalysts for sustainable energy conversion processes such as polymer electrolyte 
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                ocean. We are looking for a PhD student (m/f/d) to start at the TUM this July or later. Join the team of Prof. Karen Alim at the TUM Campus Garching to investigate how life emerged due to flows 
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                on Responsible Data Science. The PhD positions will be at the intersection of Data Science and Social Sciences and will focus on topics such as Explainable & Fair AI, AI Auditing, AI Alignment, and AI Safety in