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19.11.2024, Wissenschaftliches Personal A PhD position (E13) in the fields of machine learning and game theory is available at the Department of Computer Science at TUM at the Chair of Decision
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Academic staff for the "Learning Sciences and Educational Design Technologies" working group (f/m/d)
/transnational community of practices (COPs), co-creating an “agents of change” program, and facilitating cultural literacies across borders through a dynamic pedagogical intervention. Qualifications We seek
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computing and numerical simulation, especially with Python, Matlab, OpenFOAM, FENICS, ANSYS, etc. Proven commitment and talent for university teaching. What we offer The Technical University of Munich (TUM
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prestigious Humboldt Research Fellowships for the Logistics and Supply Chain Management research group at TUM School of Management. With the scouting program, the foundation aims to attract highly talented
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15.04.2025, Wissenschaftliches Personal The Institute of History and Ethics in Medicine (IHEM) is looking for a 100% postdoctoral research associate for a term of 4 years for the ERC-Starting Grant project team on “Participatory Algorithmic Justice: A multi-sited ethnography to advance...
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at conferences. The PhD program has a duration of three years and with the PhD degree offered by TUM. Qualifications A Master’s degree in Operations Management, Computer Science, Industrial Engineering, Economics
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of Bachelor and Master theses Your Qualifications Excellent Master’s degree in Information Systems, Computer Science, or a similar field Experience in Software Engineering Theoretical knowledge or practical
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(https://soilsystems.net/ ), a Priority Programme (SPP 2322) funded by the Deutsche Forschungsgemeinschaft (DFG; German Research Foundation). Within SoilSystems, scientists from different disciplines from
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programs offered by the School of Engineering and Design and the School of Computation, Information and Technology. You will help us to prepare teaching material, serve as teaching assistant in our lectures
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profile: • Very good degree (Master or Diploma) in aerospace engineering, mechanical engineering, computer science or a comparable field. • Experience in machine elements, structural analysis, fault