21 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" Postgraduate research jobs in United Kingdom
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professional development activities per year (pro-rata). Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405743/researcher-the-illi… Requirements Additional Information Work Location
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are committed to maintaining a safe and secure environment for our students, staff, and community by reinforcing our Safer Recruitment commitment. We're very proud to be a signatory of the Armed Forces Covenant
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to work with Bath colleagues engaged in energy research across the University, including advanced mathematics, statistics, and computer sciences Further information This role is offered on a full time (36.5
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are shortlisted. To learn more about the Institute for Health and Care Improvement and the Health and Care Research and Evaluation Service, please visit: yorksj.ac.uk/ihci For informal enquiries please contact
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Involvement and Engagement (PPIE) Lead. The project addresses the growing demands on glaucoma care by developing an AI-enabled triage platform that integrates retinal imaging, clinical data, and machine
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language processing for accessible science to contribute to the Terminology-Aware Machine Translation for Accessible Science (TaMTAS) project. The project is funded by EPSRC under the CHIST-ERA Call 2025: Science in
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machine learning to support early detection and prioritisation of patients at risk of vision loss. The role involves leading PPIE activities to ensure that patient perspectives and lived experiences shape
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including: • Generous Annual Leave • An excellent contributory pension scheme • Employee Assistant Programme • Family Leave schemes • Cycle and electric car loan schemes
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About the Role This is an opportunity to join an established, high-profile, team that is working on various aspects of cloud computing and AI law. Members of the team also teach on courses in cloud
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leading UK and global experts to improve policy decisions and implementation. ADVANCE. We advance knowledge in the field of evidence-informed policy by sharing learning, evaluating impact, and contributing