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from Rolls-Royce plc. This fully funded PhD project, with support from a leading industrial partner, will explore the development of next-generation intelligent sensing and data analysis techniques
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This PhD project will investigate partial differential equations arising from kinetic models, with a particular focus on variational methods. The research will explore how variational structures
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knowledge graph from scientific papers and cognitive test questionnaire data, and second, to integrate the graph with transformer-based large language models and causal learning. This offers an explainable
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. The successful applicant will work with experts in diabetes, data science, and genetics, and use detailed existing studies of hundreds of thousands of people with diabetes, to understand what is causing apparent
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for applications: 30th September 2026 Interviews will be held on 21st October 2026 The candidate must be in a position to register by January 2027 Project overview This fully funded PhD studentship, supported by
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’, code ‘8370F’ in ‘Course Title’, blank in ‘Research Area’. Press ‘Search’, select ‘PhD Population Health Sciences (FT)’, and click ‘Save selection.’ Either upload a document or write into the ‘Personal
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Research Group: Nanocomposites Project Overview We welcome a highly motivated PhD researcher with a background in chemistry, polymer science, materials science, chemical engineering, or a related discipline
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available through a college or EPSRC scholarship in competition with all other PhD applications. The scholarship will cover tuition fees, training support, and a stipend at standard rates for 3.5 years. Early
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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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Oxford Institute of Applied Health Research (Oxford School of Nursing and Midwifery) 3 Year, full-time PhD studentship Eligibility: Home UK/Settled and Pre-settled Bursary p.a: The stipend is at