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mechanisms , smart electroactive materials , embodied intelligence , advanced control systems , and microfabrication techniques . This PhD forms part of the new £14 million VIVO Hub for Enhanced Independent
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Sh.24.3 PhD in Sound Analysis for Predicting Category 1 Ambulance Calls School of Computer Science PhD Research Project Competition Funded UK Students Dr Ning Ma, Prof Jon Barker Application
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PhD in Chemical Engineering: Chemical looping technologies for a low-carbon energy future. Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 rate
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The primary objective of this project is to establish the evidence base on professional cycling road ‘racing’ trends and the critical tactical moments that determine how races are won. This evidence will inform future race strategy and live race tactics. Multiple factors influence the strategy...
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Cranfield University invites applications for a PhD funded by Thames Water through the Ofwat Innovation Fund. The studentship covers full Home tuition fees plus a tax free stipend of £24,000 per
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. The exact reasons for this remain unclear. This is an exciting project suitable for an enthusiastic and passionate PhD candidate aiming to explore the link between CF and cardiovascular/cerebrovascular health
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, with a slightly higher teaching requirement alongside the PhD studies and would particularly suit someone with an interest in future education as well as research, such as academia. Supervisors:Professor
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fully funded PhD research studentship in Physics-Informed Machine Learning for Cardiovascular Medicine. This opportunity is open to UK (Home) candidates only. Project Overview Arrhythmias are disorders
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The Addictions Department (School of Academic Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King’s College London) invites applications for a fully funded PhD studentship beginning
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, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust