205 web-developer-university-of-liverpool positions at Technical University of Munich
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- PhD student in quantitative verification interested in co-developing Automata Tutor - main developer of Automata Tutor Positions in the Formal Methods for Software Reliability group of TU Munich led by
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are ideal for researchers aiming to launch a successful academic career: • Positions are A13/E13 salary scale, with the possibility to prepare for habilitation. • Full technical support is available through
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01.09.2025, Wissenschaftliches Personal A Ph.D. position is available in the Professorship of Data-driven Materials Modeling to contribute to the development of efficient, certifiable, and practical
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27.09.2025, Wissenschaftliches Personal We are seeking a PhD or Postdoctoral researcher to join the AI in Orthopaedics group (TUM & TUM University Hospital). The position focuses on developing
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engaged with our work. We know how to celebrate our successes, but also how to get through setbacks together! In the next months, we are going to extend our research group at the Technical University
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19.09.2025, Wissenschaftliches Personal The Leibniz Institute for Food Systems Biology at the Technical University of Munich (LeibnizLSB@TUM) is a prominent member of the Leibniz Association and the
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Mathematics at the Technical University of Munich (TUM) invites applications for one PhD position. The student will work on developing scalable distributed preconditioners in Ginkgo (https://github.com/ginkgo
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18.08.2025, Wissenschaftliches Personal The research group Cyber-Physical Systems of Prof. Matthias Althoff at the Technical University of Munich offers a PhD/Postdoc position in the area of safe
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University of Munich is one of the largest production technology institutes in Germany. Main topics include production and logistics, machine tools, assembly technology and robotics, battery production
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and adaptability. This research project aims to pioneer the next generation of recommender systems by moving beyond static methods. The core of this PhD is to develop a generative multimodal recommender