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models, support quality improvement initiatives, and advance the use of artificial intelligence and machine learning throughout the Department of Surgery. This position serves as a key member of the
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
or equivalent experience in machine learning or a related quantitative field (Computer Science, Artificial Intelligence, Statistics, Mathematics, Physics, Computational Biology/Chemistry). Candidates will be
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science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and
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are seeking a PhD candidate for a 4-year contract to develop and apply computational models and video-based tools to capture hand movement and function with deployment in the home environment as the target
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Bethesda Maryland. Key responsibilities include: • Neuroscience with EEG • Data Science and Artificial Intelligence • Multi-physics and multi-scale simulation using high performance computing
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and facilities in high-performance computing, machine learning and artificial intelligence, human-system interaction, network science, sensing, large-scale structural testing, materials manufacturing
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of the ARIES project, reference M2030-FEDER-03053400, funded by IDR – Instituto de Desenvolvimento Regional, under the following conditions: I. Scientific Area: Biomedical Engineering, Computer Engineering
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health technologies, we work closely with clinicians, engineers, computer scientists and policymakers to support the responsible development and implementation of innovative healthcare solutions. We
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Want to explore the future of artificial intelligence alongside a world-leading researcher? Join Julian Togelius' new research group and pursue a PhD at the intersection of AI, creativity, games
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of the ARIES project, reference M2030-FEDER-03053400, funded by IDR – Instituto de Desenvolvimento Regional, under the following conditions: I. Scientific Area: Computer Engineering, Electronics or “related