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, Physics, Electrical Engineering, Communication Engineering, or equivalents; – Knowledge in artificial intelligence, statistical and machine learning, complex systems, agent-based modeling and simulation
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). Desirable assets are: • Machine learning, deep-learning, artificial intelligence, advanced statistical inference; • A solid record of research activities, including relevant publications in international peer
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related field, with solid knowledge of quantum mechanics and statistical mechanics. Experience in computational physics and programming (e.g. Python, Fortran, C/C++ or similar), as well as familiarity with
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clinical research, including epidemiology, biostatistics, observational and clinical trial design, statistical computing, and scientific writing. In addition, four intensive three-day in-person workshops
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, measurement equipment, process monitoring, and surface-characterisation tools B.6 Practical knowledge of design of experiments (DoE), statistical analysis and scientific presentation C. Research focus C.1