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. This PhD project is set within the Fusion Engineering CDT at The University of Sheffield. Students will receive a 3-month training programme in fusion engineering at the start of the course, delivered across
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the application criteria in the application statement when you apply. Criteria Essential or desirable Stage(s) assessed at A PhD, or be near completion, in the field of engineering, physical or mathematical
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Sciences; undertaking research of distinct originality, producing high quality research outputs, and developing a research programme with impact beyond the academy. You will work under the leadership of Prof
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to develop and validate paediatric bone models through a combined computational and experimental approach, in collaboration with clinical partners at the Sheffield Children’s Hospital. The ideal candidate will
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Improving Deep Reinforcement Learning through Interactive Human Feedback School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Bei Peng, Dr Robert Loftin Application
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AI-enabled digital technologies for the resilient operation of power systems School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Xin Zhang Application Deadline
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Modelling Neutrino Interactions for Next Generation Neutrino Experiments School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Patrick Stowell Application Deadline
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Consequence Models for the Characterisation of Hazards in Novel Hydrogen Technologies School of Chemical, Materials and Biological Engineering PhD Research Project Directly Funded UK Students Dr
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Urban Green Infrastructure Planning for Connectivity, Sustainability, biodiversity and multifunctionality School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Jingxia
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. Johnson Matthey, a FTSE 250 organisation, is a global leader in sustainable technologies specialising in catalysis, precious metal products, chemicals and process technology. With operations in over 30