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Application deadline: All year round Research theme: Systems and Control How to apply: uom.link/pgr-apply-2425 This 3.5 year PhD project is funded by The School of Engineering and is available
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relevant Master's degree (or exceptional Bachelor's) in biomedical/mechanical engineering, materials science, or computer science, with experience in mechanical design/textiles and programming (Python/MATLAB
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
) in a relevant discipline such as aerospace engineering, mechanical engineering, electrical engineering, computer science, applied mathematics, or a closely related field. Experience or interest in
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therefore a continued knowledge gap - whether bone and muscle sarcoma metastases evolve through linear Darwinian evolution, parallel progression, reversible/plastic mechanisms and/or whether a metastatic
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PhD studentship: Systems pathology of the breast tumour microenvironment in obesity. Supervisor: Dr H Raza Ali Department/location: Cancer Research UK Cambridge Institute Deadline: 17 August 2025
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The Institute for Energy Systems at the School of Engineering of the University of Edinburgh is looking for enthusiastic, self-motivated applicants for an exciting PhD position that will research
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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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This exciting fully funded PhD, with an enhanced stipend of £25,726 per annum (with fees covered), will deliver a comprehensive understanding of micropollutant removal in different types of nature
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motivated applicant to undertake an original and applied programme of research on the development of community-led approaches to mental wellbeing in Wigan as part of Edge Hill University’s Civic Agreement
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This PhD opportunity at Cranfield University invites candidates to explore the integration of AI into certification and lifecycle monitoring processes for safety-critical systems. The project delves