20 Materials Science PhD positions at Technical University of Munich in GERMANY in Germany
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Master's thesis. The material should be sent electronically to [email protected]. Applications will be reviewed on a rolling basis. Prof. Dr. Susanne Albers Department of Computer Science Technical University
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of metabolic regulation for human MAIT cell function using modern cell biology approaches alongside immunological techniques. Your profile: We are looking for a highly motivated, skilled applicant interested in
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, autonomous vehicles and mobility infrastructure requires a rethink in system and software engineering to keep pace with growing complexity and leverage the latest technologies like artificial intelligence. It
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11.06.2024, Wissenschaftliches Personal At the Professorship for Synthetic Biology at the TUM Campus Straubing we are looking for a new team member for a project that explores simple, prebiotic
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across Europe as well as between two chairs at TUM with several PhD positions working on the project. Required Skills & Experience At the time of appointment holding a Master of Science/Engineering degree
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19.04.2024, Wissenschaftliches Personal The Professorship of Machine Learning at the Department of Computer Engineering at TUM has open positions for a doctoral researcher (TV-L E13 100%, 3-4 years
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23.04.2024, Wissenschaftliches Personal The chair for “Governance in International Agribusiness” affiliated with the TUM School of Management and the TUM School of Life Sciences offers a Post-doc or
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20.07.2023, Wissenschaftliches Personal The Chair of Materials Engineering of Additive Manufacturing is looking for a full-time applicant as Wissenschaftliche/n Mitarbeiter/in (m/f/d) Founded in
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Wood Science" promotes the innovative and sustainable use of wood-based materials and products through research, teaching and development projects. About the project: The objective of the work is to
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of Engineering and Design. Our teaching and research focus lies on computer-based development of engineering products, particularly on the planning and realization of built facilities using computational modeling