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Field
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- See advert for details Deadline: 13 April 2026 Supervisors: Dr Zhenhui Yuan and Professor Joseph Hardwicke Predictive Network Intelligence for Medical Telerobotics Research area and project description
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factors promoting colonisation of skin and to obtain a better understanding of the role of this bacterium in the pathology of atopic dermatitis. The project will be advertised by Professor Joan Geoghegan
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motivated and ambitious PhD candidate skilled in genetic epidemiology, biostatistics, mathematics computational biology or related discipline to contribute to the “Hereditary & Early onset breast cancer
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autonomous systems. Supervision The project will be supervised by Dr Anthony Siming Chen (EEE), with co-supervision from Professor David Branson III (M3) and Professor Praminda Caleb-Solly (Computer
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applied knowledge of qualitative research methodologies, including qualitative interviewing, ethnography, and document analysis. However, when joining the KBS PhD programme the student will receive support
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Professor Dirk vom Lehn and Dr Juan Baeza (King’s Business School, PSMO) as well as by Michael Bowen (College of Optometrists). Collaboration The studentship is supported by the Research and Knowledge
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Supervisors: Dr Negar Gilani and Professor Richard Hague The Centre for Additive Manufacturing (CfAM) Research Group within the Faculty of Engineering at the University of Nottingham, recognised as
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About the project: Supervisor: Professor Nicholas Hine, University of Warwick This project uses cutting-edge computational and machine learning methods to accelerate catalyst discovery for fuel cell
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in Cultural and Media Industries) and Professor Jeanette Steemers (Professor of Culture, Media & Creative Industries). This opportunity is ideal for a passionate researcher-practitioner with relevant
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status rate at the School of Mechanical, Aerospace and Civil Engineering at the University of Sheffield under the supervision of Professor Pierre Ricco (www.pierre-ricco.co.uk ). Additionally, the student