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, Engineering, Physics, Medicine, and industry. OATML has 20+ researchers and associates, focused on concurrent projects across domains such as medical, climate, ML security and technical AI safety, foundation
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can support translational research, enable secure access, and drive discovery. This project is at the forefront of data-enabled diagnostic development. The student will develop skills in areas such as
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, please see our Cookie policy I Accept Cookies I Do Not Accept Cookies Necessary cookies enable core functionality such as page navigation and access to secure areas. The website cannot function properly
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policy on child online safety, identifying legislative gaps, addressing emerging risks from AI, VR and new technologies, and conducting cutting-edge research. This is an exciting opportunity to contribute
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broad knowledge base and varied skill set. The team supports administrative, HR, recruitment, health and safety and financial operations across a department of 400+ staff. The team works together
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policy documents to help build structured datasets and analytical outputs that support national research and improvement efforts in patient safety. Prior professional experience in health data science is
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their transition to University. Working alongside Student Life teams, Faculties, first responders, accommodation and security teams, the Student Union and more, our team will foster a sense of belonging and
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and free from hazards at all times Ensuring that all work carried out complies with relevant risk assessments, safety legislation, University safety policies and procedures and all applicable
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events operational procedures (e.g. health and safety, financial, volunteer etc.) Operate as an individual, organising and planning own work activities which contributes to the achievement of the team’s
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opportunities, public interest disclosure, health and safety, intellectual property and patenting, data protection or any other rules, regulations or codes binding on the member of staff. Participate in