470 assistant-professor-computer-"https:"-"https:"-"https:"-"https:"-"UCL" PhD positions in United Kingdom
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Passionate about renewable energy and engineering? Want to tackle sustainable hydrogen challenges? The University of Sheffield’s Leonardo Centre, a global leader in tribology, invites a motivated, curious individual to join an exciting PhD. This opportunity is generously funded by John Crane...
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and identify structural barriers to nutrient release. Drawing on these mechanistic insights, you will also help to develop and test prototype nutritional supplements or modified food‑structure
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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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for Automated Language Teaching and Assessment (ALTA) is seeking to recruit a Research Associate or Assistant Research Professor to join their strong team of researchers in the Department of Computer Science and
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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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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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sponsors to deliver the outputs and will have access to a bespoke training programme. Per- and polyfluoroalkyl substances (PFAS), also known as “Forever Chemicals”, are micropollutants of increasing concern
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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
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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