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at the University of Freiburg and the Karlsruhe Institute of Technology. Each doctoral position lasts 48 months and culminates in the award of a doctoral degree. The positions in Germany are part of a wider European
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-based value chains through systems biology, metabolic engineering, and fermentation technology, contributing to the transformation towards a circular bioeconomy. In the field of health biotechnology, we
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. TUD embodies a university culture that
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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Overview Eine Druckversion dieser Ausschreibung (PDF) steht Ihnen in den weiteren Registerkarten (z.B. „Bewerbungsvoraussetzungen“) zur Verfügung. A print version of this announcement (PDF) is available in the further tabs (e.g. “Application requirements”). Programme Description Higher education...
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ratings in housing, safety, and healthcare. TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828
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Technology, Mechatronics, Robotics, Systems Engineering, Applied Mathematics, Technomathematics, Computer Science, Engineering Informatics, Theoretical Computer Science, Physics Description Description
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Jun 2025 Financing yes Type of Position Full PhD Working Language English German Required Degree Master Areas of study Automation Technology, Mechatronics, Robotics, Systems Engineering, Applied
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of membrane electrode assembly for fuel cell Your profile Completed university studies (Master/Diploma) in the field of Mechanical Engineering, Process Engineering, Chemistry, Physics or related field Very good
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civil/electrical/control engineering or mathematics or related study programs with a solid basis in choice modelling and/or reinforcement learning, with knowledge of MATSim is advantageous. Description