69 associate-professor-computer-science PhD positions at Technical University of Munich
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13.05.2025, Wissenschaftliches Personal The Professorship of Particle and Fiber Technology for Bio-Based Materials at Campus Straubing is looking for a PhD candidate (f/m/d) in Polymer Physics
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11.01.2025, Wissenschaftliches Personal The Chair Group of Production and Resource Economics at the TUM School of Management and the TUM School of Life Sciences offers three positions as Ph.D
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19.05.2025, Wissenschaftliches Personal The Chair of Agrimechatronics at Technical University of Munich (TUM) invites for applications for the position of a Research Associate (Doctoral Student). M
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28.11.2024, Wissenschaftliches Personal Three funded PhD student positions are available at the Chair of Plant Systems Biology at the School of Life Sciences of the Technische Universität München in
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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
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) PhD position (E13) is available at the Department of Computer Science a the TUM in the group of Professor M. Bichler (Chair of Decision Sciences and Systems). We offer: - a team of young and highly
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level university degree in engineering (e.g. Computer Science), completed with above-average results • Good skills (both theory and practice) in one or several of the following topics: Computer Vision
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14.08.2023, Wissenschaftliches Personal The Chair Group of Production and Resource Economics at the TUM School of Life Sciences Weihenstephan and the TUM School of Management offers two positions as
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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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or computational science Strong mathematical skills and interest in developing new mathematical methods Good knowledge of mathematical/numerical optimization methods or deep learning methods Enthusiasm