189 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at KINGS COLLEGE LONDON in United Kingdom
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opportunity to contribute to cross-cutting hubs (see https://www.kcl.ac.uk/informatics/research ). Research collaboration across research groups, with departmental hubs and with other Departments in the Faculty
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and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge
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. The Centre has expertise in International Education and makes a significant contribution to the rich and diverse make-up of the King’s student body. About the role The Learning Technology Officer will support
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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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to the Cybersecurity (CSY) group, where our work on cryptography sits, and will have the opportunity to contribute to cross-cutting hubs (see https://www.kcl.ac.uk/informatics/research ). Research collaboration across
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an international research profile in areas such as: Systems security, Security engineering, Security testing, Computer forensics, AI for security and privacy, Security and privacy of AI. Our department addresses
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establishing a strong academic track record. You may have worked in MRI research previously or have strong computational / AI / machine learning skills used in other areas of research. Essential criteria PhD
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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