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Directly Funded Students Worldwide Dr PS Husband, Prof J Boxall, Dr Killian Gleeson Application Deadline: 30 June 2024 Details The University of Sheffield, Sheffield Water Centre in collaboration with
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PhD Studentship in: Understanding risks from emerging contaminants (PFAS) to surface water resources
Worldwide Dr JD Shucksmith, Prof Steve Thornton Application Deadline: 30 June 2024 Details The University of Sheffield, Sheffield Water Centre in collaboration with the UK Water Sector and the EPSRC Centre
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? Join the Department of Mechanical Engineering’s Thermofluids Group at the University of Sheffield for a PhD focused on the computational modelling of mechanical seals funded by John Crane Ltd
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advertised with Dr Matt Ellis. Applicants should only apply for one they are most interested in. Applications must be made directly to the University of Sheffield using the Postgraduate Online Application Form
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University of Sheffield. These collaborations will enrich the research experience, offering unique insights and access to cutting-edge resources and expert guidance. This PhD project offers a challenging yet
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, the University of Sheffield, with his research interests in Conversational AI, personalisation, retrieval augmented generation, as well as relevant topics among NLP and IR. About the Department/Research Group 99
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of Mechanical Engineering’s Thermofluids Group at the University of Sheffield for a fully-funded PhD on mathematical modelling and control of turbulent flows. Working under the supervision of Dr Elena Marensi
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The University of Sheffield is one of the best not-for-profit organisations to work for in the UK. The University’s Total Reward Package includes a competitive salary, a generous Pension Scheme and annual leave
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PhD Scholarship: Real-Time Brain Injury Prediction and Protection Framework for Intelligent Vehicles
PhD candidate to join our research project at the University of Sheffield, focusing on the development of intelligent vehicle safety strategies with a focus on brain injury prediction. This project aims
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project aims to develop validated computational models of the foot and ankle, and investigate the biomechanical parameters impacting successful bone healing while reducing the risk of fixation failure