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needs. While muscle imaging from well-characterised patients and transcriptomic technologies provide rich data, these remain under-utilised for predictive modelling. Using machine learning, this project
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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 funding provider: Health Data Research UK Subject areas: Wider Data Science Field, Maths and Computer Science Project start dates: 1st October 2025 ** (Please see the note below regarding
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providing funding and other material support to the project. This means there are special terms that apply to the project, these will be discussed with candidates at interview and fully set out in the offer
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Council The new gallery will provide a home for the public programme, serving as a testing ground for innovative curatorial research and community involvement. Working closely with a supervisory team, the
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and develop advanced cryogenic power electronics solutions for key net-zero applications such as all-electric aviation and wind energy. This fully-funded PhD project will provide the opportunity
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of TCO or CF will inevitably lead to different conclusions and yield varying advice on each stage of the transformer life cycle. LCA involves transformer users, manufacturers and material providers
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Closing Date: 15 August 2025 Eligibility: UK Only Funding: Joint School of Civil Engineering/EPSRC Doctoral Landscape Award Studentship, providing the award of full academic fees, together with a
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Type of award Studentship Managing department Faculty of Humanities Value The award can cover fees, living expenses (bursary) and specific research costs. Specified use This award provides funding
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of care plus a nurse-led phone contact. Objectives: 1) To determine patients’ perspective on a pneumonia information leaflet provided at the time of hospital discharge in accordance with the NICE Pneumonia