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PhD Studentship: Visual Prosthesis for the Blind Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). Additional project costs will also be
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systems with "self-diagnosis" and "self-healing" capabilities. By integrating federated learning, graph neural networks, and blockchain technology, we will develop a framework that moves beyond static
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offers methodological flexibility (qualitative, quantitative, or mixed methods). Possible areas of focus include: Quantitative analysis of electronic health records to examine social determinants
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these fuels from production through storage, onboard use and energy conversion. Using advanced simulation and analysis, the research will assess how different fuel pathways affect engine behaviour, hybrid power
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fibroblast identity and function within liver tumours and how these cells shape anti-tumour immune responses. The student will use in vivo cancer models, spatial tissue analysis and immunological profiling
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highly desirable. Experience with green infrastructure, nature-based solutions, bioretention/rain gardens, or environmental data analysis will be an advantage. Enthusiasm for field research, the ability
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analysis will be an advantage. Enthusiasm for field research, the ability to think and work independently, excellent environmental data analysis skills and strong verbal and written communication skills
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: design of experiments, life-cycle analysis, techno-economic analysis, digital and business skills, ethics etc. You will also undertake short courses in the core subjects of this PhD programme including
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, drive and strengthen your research: design of experiments, life-cycle analysis, techno-economic analysis, digital and business skills, ethics etc. You will also undertake short courses in the core
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synthesis, qualitative interviews with key stakeholders and an analysis of TIA clinic data you will help to understand how stratification might assist in delivery of more appropriately targeted care. You will