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of the research findings. Person Specification Candidates will be expected to have a first degree in Economics or proximate fields; strong analytical skills; experience in quantitative data analysis using large
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data, improve the description of the dynamical changes of viral load in different risk groups, and generate insights into the impact of antivirals in combination with that of the immune response
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cancer care Geospatial health equity The LIRCH fully funded studentship package includes: PhD tuition fees paid (home fee rate*). Tax-free stipend at UKRI rates to cover living costs. Research Training
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resilient, long-term cost-benefit case for modernising and protecting our grid. The project will complement the ISS initiative and model data-driven grid optimisation services that ISSs can enable. Firstly
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involve the development of new data, techniques, and evaluations. The successful candidate will also take part in dissemination of research findings. The student will work as part of the interdisciplinary
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Funding amount: Scholarships are available on a competitive basis that cover tuition fees and a teaching contract to support living costs for Home and International students Hours: Full Time, Part
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of the Discrete Choice Experiments in Mozambique and South Africa, and the analysis of the ensuing data Develop computational models of health actors’ decisions and responses to regulatory options Collaborate with
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data to understand the scale of falls among older residents, the associated costs and how these vary across demographic groups. The second stage involves qualitative research (interviews or focus groups
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engineers Opportunities to work with industry leaders at John Crane Ltd Access to cutting-edge lab facilities and real-world data A platform to publish in top journals and attend international conferences Why
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of GAGs Are confident working with complex data Enjoy learning beyond your current expertise with the support of our excellent interdisciplinary team Eligibility Start date: 1 October 2025 Open to