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year round Details Research at Sheffield has been developing models of the railway network from a range of perspectives including smart-grid energy consumption, passenger satisfaction, and integration
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The Development of Models for Mercury Oxidation in Oxyfuel Combustion School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Prof Lin Ma
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participate in developing algorithms for tau lepton identification, and will also have the opportunity to assist with silicon module construction for the ATLAS tracker upgrade. Instructions for applying can be
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: Applications accepted all year round Details Our research aims to develop forms of computational imaging in which the optical components of conventional imaging systems are replaced or enhanced by computational
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in simulated environments and with real data on real UAVs. Defining and calculating measures for levels of trust in the developed algorithms is essential. These uncertainty-aware algorithms can self
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at the University of Sheffield within the consortium is to lead nationally the development of quantum machine learning (QML) algorithms. The research will involve designing innovative QML approaches and collaborating
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Directly Funded UK Students Dr Jon Willmott, Dr Matthew Hobbs Application Deadline: 23 June 2025 Details The fusion energy sector must develop methods of remote maintenance where human access is impossible
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The development of flexible cognition in children and adults School of Psychology PhD Research Project Self Funded Dr D Carroll Application Deadline: Applications accepted all year round Details
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Heterogeneity in the development of antisocial behaviour School of Psychology PhD Research Project Self Funded Prof Richard Rowe, Dr CB Stride Application Deadline: Applications accepted all year
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Development of a new model for particle wall deposition on heated surfaces School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Dr