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Professor Alan Gow (Professor in Psychology, School of Social Sciences, Edinburgh) Dr Kelly Wolfe (Assistant Professor in Psychology, School of Social Sciences, Edinburgh) Professor Mario Parra Rodriguez
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of disciplines and collaborations with users where appropriate. Studentships will be awarded to outstanding applicants, the distribution will be overseen by the University’s EPSRC Strategy Group in partnership
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be differentiated from misleading content? How can LLMs be leveraged to effectively detect LLM-generated disinformation also providing explanations? Supervisors: Professor Kalina Bontcheva is Professor
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within the Institute of Health Informatics. The studentships will commence from Feb 2026. About the project Successful applicants will work with the programme coordinator to identify a project and a
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. See UKCISA for further information . Starting in April 2026. Later start dates will be possible, please contact Professor Saber Fallah once the deadline passes. You will need to meet the minimum entry
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-Borne and Sexually Transmitted Infections is available within the Institute for Global Health. The studentship will commence from 1st February 2026 onwards, under the supervision of Professor Fiona Burns
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researchers associated with the Horne Family Charitable Trust program of research on DVA and MS. What we offer in return 26 days holiday plus approx.16 Bank Holidays/days that the University is closed by custom
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Angeloudis Assistant Supervisor: Professor Lindsay Beevers Eligibility Minimum entry qualification: An Honours degree at 2:1 or above (or International equivalent) in Engineering, Oceanography, Computational
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& Gamble’s Newcastle Innovation Centre. Number Of Awards 1 Start Date 1st October 2026 Award Duration 4 years Application Closing Date 18th January 2026 Sponsor EPSRC Supervisors Professor David Fulton , Dr
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, materials, land and agricultural stocks and flows and their distributions. Considering how councils in partnership with civic society and businesses can better consider quantitative and qualitative data