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Field
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storage leads to serious issues like diabetes, high blood pressure, and heart disease. Doctors often miss these problems because these people appear healthy on the outside. The student will use data from
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of pre-eclampsia Research area and project description: Pre-eclampsia affects 1 in 10 pregnancies, yet diagnosis remains uncertain. This PhD will integrate clinical data and blood biomarkers to improve
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this challenge by developing modern data driven tools that help predict and manage corrosion in next generation bio refineries. The project brings together leading researchers from University of Leeds
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London School of Economics and Political Science; | London, England | United Kingdom | about 1 month ago
role in supporting data-driven, policy-relevant research examining energy markets and a range of associated social and environmental challenges. This role is ideal for candidates planning to apply to top
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, maintenance logistics, and weather-related downtime for offshore wind assets. Drawing on climate projections, metocean datasets, and offshore O&M modelling techniques, the research will develop data-informed
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of data. What is needed, therefore, is a test method in which creep strain is developed without changing the cross-sectional area. This PhD proposal seeks to concentrate on the formation of oxide scale and
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and partner urban sites, the successful candidate will collect and analyse real-world environmental data to evaluate how vegetation interacts with the built environment. You will be supported by a
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energy research, combining laboratory experimentation, computational modelling, and data analysis. Experimental work will be carried out in the world class COAST laboratory, examining floating offshore
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, biologging, and coding) to map and analyse complex burrow structures and their usage at our established field-site in South Africa. You will combine this with long-term behavioural and life-history data from
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into its latest Ryzen processors, unlocking new possibilities for on-device AI acceleration. This project aims to maximise the potential of AMD’s cutting-edge hardware for healthcare computer vision