63 computational-physics-phd Postdoctoral positions at Technical University of Munich in Germany
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03.02.2023, Academic staff Postdoc Position (m/f/d, TV-L E 12 position, for 15 months, extension possible depending on funding) in “Surface Chemical Physics and Molecular Nanoscience” at Technical
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their PhDs will also be considered. Experience with qualitative methods is required. Applicants should have demonstrated independent experience in designing and carrying-out empirical qualitative research
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underrepresented groups to apply. The review process is on a rolling basis. Please refer to the “Application Procedure” section for details on how to apply. Current Openings Safety, Performance and Reliability in
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degree or PhD degree in computer science. We offer - You work in a highly innovative environment - Technical supervision at one of the leading universities of Germany - Employment as a research associate
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
11.02.2022, Academic staff The Chair of Information-oriented Control (ITR) offers a PhD/PostDoc position within the 6G-life Research-Hub „Digital transformation and sovereignty of future
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22.03.2021, Academic staff The 3D AI Lab at the Technical University of Munich is looking for highly motivated PhD students and PostDocs at the intersection of computer vision, machine learning, and
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chaperones and the question how membrane protein chaperones recognize and process clients on a molecular level. The project has the potential to provide exciting new insights in the molecular biology of cells
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and coded computing (1 postdoc, 1 PhD, Antonia Wachter-Zeh, antonia.wachter-zeh@tum.de) • Theory for communication systems beyond Shannon's approach (1 postdoc, 1 PhD, Christian Deppe, christian.deppe
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activities. ________________________________________ Candidate Requirements ✅ PhD degree in Engineering, Computer Science, Systems & Control, Statistics, Computational Physics, Computational Chemistry
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involve the integration of: Advanced motion planning and control algorithms Multi-modal perception techniques (e.g., vision, tactile, force) Machine learning models for physical behavior prediction and