561 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"UCL" PhD positions in United Kingdom
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(led by Dr Moss ), the Cognition, Genes and Developmental Variability Lab (led by Professor Emily Farran) and the Cerebra Network (co-led by Dr Moss). They will collaborate with PhD, Clinical Doctoral
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-edge computational project at the intersection of AI, physics-based simulation, and materials science. Your key objectives will be to: Build a Multi-Scale Training Dataset - You will use 3D X-ray
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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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Supervisors: Professor Victoria Cornelius, Dr Hadith Rastad, Dr Tim Rawson About the role Sequential Multiple Assignment Randomised Trials (SMARTs) are increasingly used to evaluate multistage
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designing research approach and drawing on a wide range of social science methods. Key commercial sectors include (but are not limited to) data centres and high-tech industries, as well as food and beverage
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A 4-year PhD position is available as part of the EUTOPIA PhD co-tutelle programme, working jointly in the groups of Mark Greenhalgh at the University of Warwick and Frank De Proft and Mercedes
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Number Of Awards 1 Start Date 28 September 2026 Award Duration 4 years Application Closing Date Friday 30 January 2026 Sponsor School of Engineering, Newcastle University Supervisors Professor Claire Walsh
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Principal supervisors: Martin Orrell, School of Medicine, Professor – M.Orrell@nottingham.ac.uk Magdalena Opazo B., School of Medicine, Senior Research Fellow – Magdalena.Opazo@nottingham.ac.uk
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we are looking for The candidate should have a 1st or high 2:1 degree in mechanical/aerospace/manufacturing engineering, computer science, physics, mathematics, or related scientific disciplines
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CD3 is a new, multidisciplinary and multi-institutional strategic national research programme dedicated to using data to transform our understanding of cancer risk and enable early interception