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Field
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spaces and habits for them. This is a highly interdisciplinary project that combines computational modelling and behavioural science. The first part will be based on the use of state-of-the-art
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local gas/liquid phase conditions. Whilst direct simulations of breakup are possible, computational cost is high, restricting applications to small sections of geometry and for modest run times
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This PhD project aims to reduce—by approximately an order of magnitude—the time and computational effort required to evaluate point-defect energetics in technologically important mixed-anion
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Neil Nixon, Clinical Associate Professor in Psychiatry, University of Nottingham, neil.nixon@nottingham.ac.uk To apply, candidates should send their CV and a short cover letter (<1000 words) outlining
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Centre at Loughborough University. Primary supervisor Professor Vadim Silberschmidt is happy to discuss this opportunity via email at V.Silberschmidt@lboro.ac.uk . Name of primary supervisor: Professor
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background, we welcome applicants from other relevant disciplines, including psychology, sociology, criminology, law, and computer science. This PhD studentship is fully funded for up to 3.5 years with a tax
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vehicles. This offers a fully funded 4 years stipend and tuition fees at the Home status rate at University of Oxford under the supervision of Professor Matthew McGilvray & Dr Luke Doherty. Additionally
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supervisor Dr Lei Xing has built strong track record in circular chemical economy, green energy, carbon capture and utilisation, AI and digitalisation. Supervisors:Dr Lei Xing and Professor Jin Xuan Entry
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: Computational Modelling: Employing simulation tools (e.g., GEANT4, light transport) to explore novel metamaterial designs, predict performance, and optimise key parameters such as timing resolution, light yield
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of researchers who conduct cutting-edge research into NLP and AI within the University of Cambridge. Education: An excellent first degree in computer science, engineering or a closely related field Skills and