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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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-world engineering problems Experience with CFD, finite element methods, offshore structures and aquaculture would be beneficial but is not essential. What You will Gain This PhD offers you the opportunity
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will contribute to a deeper understanding of moral injury as a significant, yet overlooked, risk factor in EDs and support the development of more nuanced, trauma-informed care pathways grounded in
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illness are more likely to have adverse metabolic health problems and we don’t know why. Preliminary results from the supervisory team suggest inflammation may be a crucial factor. This PhD will test this
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supervisors. A wide variety of PhD projects is available; example project areas are: Human-machine teaming AI agents for air traffic control Weak signal analysis for air traffic control room situational
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to tackle this major clinical challenge. Using advanced data science and 'glucometrics', the standardised analysis of inpatient glucose data, the student will quantify adverse glycaemia, evaluate its impact
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research through meta-analysis, online experiments, and more. These studentships are funded through GW4 BioMed3 MRC Doctoral Landscape Programme and consist of UK tuition fees, as well as a Doctoral Stipend
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analysis to explore how nerve cells and support cells interact in health and disease. You’ll model a key ALS feature seen in most patients and use high-resolution single-cell techniques and drug screening
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membranes will also be considered, ensuring relevance to future industrial deployment. This research is inherently interdisciplinary, combining elements of materials science, solid-state chemistry
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the PhD, but should be willing and able to learn micro and nanofabrication, electromagnetic and micromagnetic computational modelling, theoretical and experimental analysis of electromagnetic properties