467 associate-professor-computer-"https:"-"https:"-"https:" PhD positions in United Kingdom
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impact. It investigates how outdoor advertising, particularly for meat and dairy products is associated with health and environmental outcomes. The project will use experimental and statistical modelling
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practice and community responses. The PhD student will be supervised by the project’s principal investigator, Professor Yafa Shanneik. Requirements A Master’s degree in Social Policy, Political Science, Law
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based in the Department of Informatics within the Faculty of Natural, Mathematical & Engineering Sciences (NMES), an internationally recognised centre for research in robotics, artificial intelligence
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PhD Studentships to support doctoral research in the Arthur Scargill Archive at the University of Sheffield Faculty of Arts and Humanities 4 Year PhD Programme Funding Available UK Students View
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) Research supervisors This PhD studentship will be conducted in the School of Health and Sport Sciences , Liverpool Hope University. The project will be primarily supervised by Professor Omid Khaiyat, further
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and associated costs are not covered. Closing date: 20th February 2026 Interviews: TBC (online) Start date: September 2026 Project Title: NatureNet: AI systems for conservation and the management
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quality following contamination events associated with Combined Sewer Overflows (CSOs). Such events present increasing risks to public health, ecosystems and urban water environments, particularly under
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leaders, and other relevant stakeholders. To contribute and support research funding bids as required. To undertake administrative tasks associated with projects, including the planning and organisation and
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Start date: 28/09/2026 Funding Sponsored by Cranfield University, this full-time PhD Studentship will cover the PhD programme fees and provide an annual bursary of £20,780 (tax free) for three years
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modifying geometry and re-running CFD, the research will develop models that map aerodynamic requirements directly to 3D blade geometries and associated flow fields. The project builds on a proven 2D inverse