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. Funding This is a self-funded PhD. Find out more about fees. Cranfield Doctoral Network Research students at Cranfield benefit from being part of a dynamic, focused and professional study environment and
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(University of Reading). Dr Farhan Ahmad and Dr James Watchorn (Royal Berkshire NHS Foundation Trust). What is the project This project would suit a candidate passionate about embedding the patient voice
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mechanics, such as inferring the instantaneous state of a fluid’s velocity field from sensors embedded in its boundary. The research objective is to find the best way to embed simple partial differential
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from end-of-life recycled aluminium to reduce embedded carbon level to below 2 tonnes CO2e/tonne of aluminium as a supplied component and eventually to Net Zero carbon. This project is concerned with
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We’re here to create and harness knowledge, to deliver opportunity for everyone. About the Opportunity Based in the Faculty of Education, this is an excellent opportunity for a talented and
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We are seeking a highly motivated candidate to undertake a PhD program titled "3D Temperature Field Reconstruction from Local Temperature Monitoring in Directed Energy Deposition." This exciting
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electronics, embedded programming, signal processing, vibration measurement and analysis, maintenance engineering, and electro-mechanical engineering. Funding This is a self-funded PhD. Find out more about fees
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
predictive and explainable digital twins. The core challenge this PhD will tackle is how to help digital twins make sense of complex, messy maintenance data and turn it into clear, useful insights
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In collaboration with Burnley FC Women and Manchester Metropolitan University, this is an opportunity for a 3-year PhD studentship embedded within the senior women’s first team. The PhD studentship
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scope to tailor the PhD project to your interests and strengths. You will be part of a team researching the complexity and inequalities of transnational (pre-)retirement trajectories across three