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Eligibility: Home students only | Minimum 2:1 in a relevant discipline Stipend: Home students only | £20780 + £2500 industry top up (per annum (tax free)) Overview This exciting, fully-funded PhD opportunity
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University. Applications are invited for a PhD studentship in the Centre for Propulsion and Thermal Power Engineering, Cranfield University, in the area of gas turbine performance, diagnostics and prognostics
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through health, retail, mobility, energy and communications. This exciting PhD programme will first use qualitative methods to investigate how the public access and use OTC medications for a range of common
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Supervisory Team: Leonardo Aniello, Han Wu PhD Supervisor: Leonardo Aniello Project description: Blockchain and Federated Learning (FL) are two emerging technologies that, when combined, offer a
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, there is no consensus on the adsorption mechanisms of these molecules on the metallic surfaces. In this PhD project we will use state-of-art molecular simulation methods [2,3] to clarify the adsorption and
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, this project aims to develop a novel modelling and analysis approach to address the mathematical and technical challenges of the fluid-structure interaction (FSI) mechanisms globally. The successful PhD
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researchers, many of whom are PhD students and early career researchers. Feasibility: The project is being conducted alongside a teaching-intensive lecturer who has capacity over the summer to support the
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grant Specified use +3 - to cover the full PhD Humanitarianism & Conflict Response programme Tenable period 3 years full-time or 6 years part-time. Continuation of award Continuation of the award is
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EPSRC iCASE PhD studentship with SLB - Computational modelling of advanced geothermal systems School of Mechanical, Aerospace and Civil Engineering PhD Research Project Directly Funded UK Students
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Supervisor details: Lead Supervisor Kieran Hunt, k.m.r.hunt@reading.ac.uk , Department of Meteorology Co-supervisors Hannah Bloomfield, Hannah.Bloomfield@newcastle.ac.uk , University of Newcastle Project description: Reliable, high-resolution electricity demand data are scarce across the global...