52 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" Postgraduate positions in United Kingdom
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arrangement: Part-time 0.6 FTE Duration: 8 months, commencing on 1st January 2026 Line manager: Principal investigator (Dr C Peng) Direct reports: N/A Our website: https://www.sheffield.ac.uk/architecture
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: https://events.teams.microsoft.com/event/376b2195-d8da-47c0-86e2-b18813ec19e3@4a5378f9-29f4-4d3e-be89-669d03ada9d8 . Number Of Awards 1 Start Date 1st October 2026 Award Duration 3.5 years Application
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About us: The IoPPN is a Faculty of King's College London and the largest academic community in Europe devoted to the study and prevention of mental illness and brain disease. http://www.kcl.ac.uk
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About us: The IoPPN is a Faculty of King's College London and the largest academic community in Europe devoted to the study and prevention of mental illness and brain disease. http://www.kcl.ac.uk
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: Earth Sciences, Bioscience, Interdisciplinary Life and Environmental Science, Inorganic Materials for Advanced Manufacturing, Chemical Synthesis for a Healthy Planet,Statistics and Statistical Machine
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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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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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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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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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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