189 phd-computational-"FEMTO-ST"-"FEMTO-ST" positions at Technical University of Munich
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/d) in Energy Informatics. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and would like to work in a vibrant and international research
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academic supervision from Prof. Henkel. You will participate in the doctoral program of the TUM School of Management; after about a year, there is the possibility to apply for the School’s Academic Train-ing
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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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transcripts (Bachelor’s and Master’s degrees and PhD certificate) Two to three representative publications or writing samples (e.g., PhD thesis, conference papers) to the following link here quoting
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. Publish and present findings in international journals and conferences. Supervise and mentor junior researchers and students. Profile PhD in Computer Science, Biomedical Engineering, Data Science, or a
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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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of AI. The ideal candidates will have a background in computer science, statistics, mathematics, or related fields, as well as an interest in social science research methods and theories. The PhD
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25.08.2025, Wissenschaftliches Personal The Chair of Architectural Informatics at the Technical University of Munich is looking for a research associate (m/w/d) for the research in the frame
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21.12.2021, Wissenschaftliches Personal The Department of Computer Science, Technical University of Munich, has a vacancy for a PhD candidate/researcher position in the area of efficient algorithms