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at highest risk of kidney function decline, aiding trial prioritisation What you will learn and why it matters This PhD provides a rare skill set sought after in academia, biotech, and healthcare innovation
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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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with inflation). Research training and support grant (RTSG) of £3,000 per year. Funding is available for 4 years. Closes: Open until position filled The overarching aim of this project is to find
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How to apply: uom.link/pgr-apply-2425 How many positions:1 This is an industry funded PhD for home and overseas students. The successful candidate will receive a tax free stipend set at the UKRI
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PhD Application". Emails should arrive no later than 1 September 2025. Applications may close early if the position is filled before this date. Please note that any offer of funding will be conditional
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Funding Source: EPSRC DTP Sponsor Company: Roxel Ltd Start Date: 1/10/2025 Project Page – Centre Project Overview The aim of this PhD is to investigate RAM formulation chemistry of polyol binders
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the “Dialling up Performance for on Demand Manufacturing” Programme Grant, which will place the student within an active and supportive team of 9 other PhD students, 15 postdoctoral researchers, 18 world-leading
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the “Dialling up Performance for on Demand Manufacturing” Programme Grant, which will place the student within an active and supportive team of 9 other PhD students, 15 postdoctoral researchers, 18 world-leading
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The overall aim of this PhD project is to understand how indoor air quality (IAQ) affects the health of children and adolescents, including their mental health with the aim of creating healthier
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supporting the Net Zero 2050 target. This PhD project will develop an AI-enabled framework that optimizes wind turbine control and predictive maintenance. Using Deep Reinforcement Learning (DRL), the system