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Field
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Location: Faculty of Science and Faculty of Engineering, University of Nottingham, UK Start Date: 1 October 2026 This PhD offers an exciting opportunity to explore reservoir computing, a new
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then be fed into process-level flowsheet models. The UK-National Nuclear Laboratory (UK-NNL) is supporting this project. In addition to acquiring training in computational modelling and theory
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) at an early stage https://www.bennettschool.cam.ac.uk/ . The BSPP, part of the Faculty of Human, Social and Political Science, has an ambitious growth plan including its new M.Phil in Digital Policy alongside
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and ecological impact Experience with Experimental or Computational Tribology, Computational Fluid Dynamics and/or data analysis is desirable Excellent written and spoken English An enquiring and
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£26,805 per year, and includes the PANDA DFA training programme as part of the 2026 Cohort (https://www.bangor.ac.uk/panda ). This project is linked to UK National Nuclear Laboratory (UKNNL), who will
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, and building on developments in camera technology through the FinVision project (https://www.plymouth.ac.uk/research/marine-conservation-research-group/fishing-and-aquaculture/finvision ), the student
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necessary time and size scales, enabling realistic thin-film growth simulations with near-quantum accuracy at a fraction of the computational cost. The tools developed in this position have the potential
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Supervisor: Dr Tim Halim Course start date: 1st October 2027 Project details For further information about the research group, please visit our website at https://www.cruk.cam.ac.uk/research-groups
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decisions. The project is funded by Eni S.p.A through the UK Energy Futures (https://ukenergyfutures.org ). research partnership, bringing together geoscientists, engineers, and social scientists to advance
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute