63 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" Postdoctoral positions at Technical University of Munich in Germany
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-Tracking, and their responsible applications. Ideal candidates will have: An M.Sc. degree (or equivalent) in Computer Science, Game Engineering, Mathematics, Statistics, or related fields. Strong programming
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in biology, physics or a related discipline. You have experience in quantitative biology, experimental soft matter, or experimental biophysics. You enjoy working in interdisciplinary and international
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the following areas: PhD in mechanical/electrical engineering, robotics, computer science, or a comparable field, Experience in self-reliant managing of research projects (financial and administrative) and
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of miniaturized imaging technologies. Your Profile: The successful applicant must have the following: • Ph.D. in natural sciences, electrical engineering, physics, optics, medical technology, biomedical computing
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learning, medical image computing, biomedical engineering, medical physics, or related field Strong Python and PyTorch experience Solid publication record and ability to communicate research results
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have the following: • Ph.D. in electrical engineering, physics, computational science, medical technology, biomedical computing, natural sciences, or a related discipline. • Excellent track record
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of Orthopaedics and Sports Orthopaedics and the Institute for AI and Informatics in Medicine. We work at the intersection of artificial intelligence, medical imaging, and clinical practice, developing methods
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-average doctoral degree (PhD or equivalent) in management, organizational psychology, sociology, economics, business informatics, or a related field, • With a solid knowledge of empirical research methods
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22.12.2025, Academic staff We are an interdisciplinary team at the Chair of Safety, Performance and Reliability for Learning Systems, and we are looking for exceptional postdoctoral researchers to join our team. The postdoctoral positions will be full-time (100%, TV-L E13). We are committed to...
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cells to interact with their environment. We use an interdisciplinary approach from protein biochemistry to cell biology to analyze the machinery and mechanisms that monitor cellular protein biogenesis