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The GW4 BioMed3 Doctoral Landscape Programme is offering up to 18 MRC funded studentships across a range of biomedical disciplines, with a start date of October 2027. These four-year studentships provide funding for fees and stipend at the rate set by the UKRI, as well as other research training...
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condition, but its clinical management relies heavily on HbA1c – a biomarker affected by distinct pathways: glucose metabolism (glycaemic) and independent red blood cell biology (non-glycaemic). This means
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the Universities of Exeter, Bristol and Cardiff will provide expertise in molecular neuroscience, glial biology, bioinformatics, and disease modelling. This interdisciplinary project offers an exciting opportunity
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dementia and co-occurring age-related conditions. The student will work at the intersection of dementia research, genetics, epidemiology and data science, gaining experience in the analysis of large-scale
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The GW4 BioMed3 Doctoral Landscape Programme is offering up to 18 MRC funded studentships across a range of biomedical disciplines, with a start date of October 2027. These four-year studentships provide funding for fees and stipend at the rate set by the UKRI, as well as other research training...
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Research theme: AI for Engineering How to apply: uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded; students who are eligible to pay tuition fees at the Home rate are eligible
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of the most dynamic environmental conditions. Understanding how these offshore aquaculture systems respond to waves, currents, and extreme storms is one of the key engineering challenges of the next
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). Working in the Faculty of Health and in partnership with Carl Zeiss AG and the ZEISS Innovation Hub, the successful candidate will gain interdisciplinary training spanning clinical vision science
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with no cure, and we urgently need new ways to understand and treat it. This exciting PhD project combines cutting-edge stem cell technology, 3D bioprinting, brain cell models, and advanced genomic
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Description Applications are invited for a fully funded PhD studentship in the School of Electrical and Electronic Engineering at the University of Sheffield, in collaboration with the Defence