40 systems-science-"https:" "https:" "https:" "https:" PhD positions at Technical University of Munich in Germany
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. The Technical University of Munich (TUM), as a University of Excellence, is one of the leading and most dynamic research institutions in the country. TUM has established the Collaborative Research Center (CRC
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over the world, especially the USA, the UK, and Germany. Your Profile: Excellent university degree in engineering, chemistry, materials science, physics, electrochemistry or a similar discipline Strong
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06.02.2024, Academic staff 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 applied in
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Researcher in Agricultural and Resource Economics starting at the earliest November 1st, 2023. Initial appointment will be 2 years with the possibility of extension. Salary is in accordance with the German
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20.07.2023, Academic staff 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 2019, the new
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candidate, you have an outstanding Master's degree or comparable degree in biology, physics, applied mathematics or related disciplines. As an experimental candidate you have experience in biological systems
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soliciting applications for Doctoral Researchers in Technology and Innovation Management (f/m/d)to join us by spring of 2024, or earlier/later by mutual agreement. The position is for two years and is ex
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from analytical chemistry to material science and engineering. There is no need for previous knowledge in the described fields but a strong motivation to learn and push the boundaries of our current
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05.04.2023, Academic staff We are the Autonomous Vehicles Systems (AVS) Lab and are interested in the algorithmic foundations of path and behaviour planning, control and automated learning
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05.04.2023, Academic staff We are the Autonomous Vehicles Systems (AVS) Lab and are interested in the algorithmic foundations of path and behaviour planning, control and automated learning