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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
of Information-Oriented Control we focus on research and teaching of control and optimization of cooperative, networked, and distributed dynamical systems. We develop novel methods and tools for the analysis and
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rankings in research and teaching. Our group “Sustainable Energy Materials” concentrates on the preparation of heterogeneous catalysts and the understanding of structure-performance indicators in
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English, German language skills are an advantage but are not mandatory. Motivation and excitement in dealing with challenging research problems and in developing convincing solutions as a team. Publications
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University Employability Ranking, etc.). It is committed to excellence in research and teaching, interdisciplinary education, and the active promotion of promising young scientists. TUM benefits from
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international teams and have programming skills. In addition, you are able to express yourself confidently both orally and in writing in English. What we offer We offer a three-year contract with the possibility
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, building model checkers (also verified by automated theorem proving) etc. - AUTOMATA TUTOR (available at [1], described in publication [2]) is a tool to teach undergraduate students the basics of theoretical
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funded by the German Federal Ministry of Education and Research (BMBF). The position is funded for four years with a possible extension. The project will start on October 1, 2021. Topics of the positions
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University Munich (www.tum.de). Accordingly, we are currently searching for PhD Students and Postdocs to join our team! PhD Students For PhD students, we are looking for persons that are willing to learn and
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teaching in terms of lectures, laboratories and student projects with a tight connection to cutting-edge research. Description We are looking for PhD/Postdoc applicants with experience in robotics and
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07.08.2020, Wissenschaftliches Personal Founded in 2019, the new Chair of Materials Engineering of Additive Manufacturing at Technical University of Munich teaches and researches in the promising