108 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at KINGS COLLEGE LONDON in United Kingdom
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system may hold clues to how psychosis and other psychiatric disorders are caused and how people respond to treatments. We will investigate blood and cerebrospinal fluid from patients and use machine
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have: A PhD (or equivalent) in a relevant discipline (e.g., biostatistics, machine learning, computer science, clinical informatics, natural language processing). Strong skills in data analysis and
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have an international profile in research and education in any of the following areas: systems security, security engineering, security testing, computer forensics, AI for security and privacy, and
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contributing to multi-site or international collaborative research programmes, particularly in maternal, perinatal, or population health Experience applying machine learning or AI methods in healthcare research
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Robotics to develop research in the field, e.g., robot design, control and mechatronics; Publication record in robotics and machine learning, e.g., ICRA, IROS, RSS, CoRL, T-RO, CVPR, ICML; Excellent verbal
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such as: Systems security, Security engineering, Security testing, Computer forensics, AI for security and privacy, Security and privacy of AI. Our department addresses computer science challenges from a
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an international profile in research in any of the following areas: distributed artificial intelligence, coordination and negotiation, game theory and mechanism design, multi-agent learning and
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environment for the pursuit of cutting-edge cardiovascular and metabolic research (https://www.kcl.ac.uk/scms ). We study the fundamental molecular, cellular, and physiological processes that underly normal and
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approach, combining both traditional teaching methods with modern, project-based learning, catering for the needs of our students and the industries in which they will work. As a new department we have
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forensics, AI for security and privacy, Security and privacy of AI. Our department addresses computer science challenges from a broad perspective. Faculty members regularly publish in and serve on the program