44 computational-physics "https:" "https:" "https:" "https:" "UCL" Postdoctoral research jobs at Technical University of Munich
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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
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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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, Physics, Biophysics, Molecular Biology, or related filed Strong expertise in bioanalytics and peptide synthesis Experience with automated liquid handling / high-troughput platforms Experience in managing
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must have the following: • Ph.D. in physics or optics with a focus on quantum techniques • Excellent track record of research achievements and publications in top-ranked journals. • Strong motivation
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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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while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research process includes the evaluation of existing
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; an extension of an additional 2 years is possible. TASKS: Mathematical and physical modeling to determine greenhouse gas and pollutant emissions in cities using novel atmospheric measurements (MUCCnet
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problems or machine learning more broadly. We are looking for candidates with strong mathematical skills and interests. A requirement for the position is a master’s degree in electrical engineering, computer
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14.12.2022, Academic staff The BMBF-funded position is part of the CoMPS project, which is a multidisciplinary project combining the fields of mathematics, computer science, geophysics, and high