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because true TIA is an important risk factor for future stroke. However, presentations to primary care for suspected TIA can vary significantly and a large proportion of patients have a low risk of stroke
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for future stroke. However, presentations to primary care for suspected TIA can vary significantly and a large proportion of patients have a low risk of stroke. Hospital TIA services currently struggle
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not originally designed to manage large numbers of flexible and decentralised energy resources. This PhD project will develop new AI-driven methods for operating smart distribution networks so that
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epidemiology, public health, physical activity/exercise science or health science. Formal training or prior experience of evidence synthesis and/or the analysis of large-scale epidemiological data would be
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trigger redesigns across multiple groups. The challenge is compounded by the fact that each discipline uses different data models and representations, making system-level interdependencies difficult
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performance. This PhD project aims to develop a data-driven framework for graphene aerogel design by integrating structured experimental Design of Experiments (DoE) with machine learning (ML). The student will
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-I) remains a viable alternative but to date few studies have explored its use in pregnancy. There is no conclusive data available on long term efficacy, maternal and neonatal outcomes and whether its
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. This project will rely heavily on computational analyses, so experience on bioinformatics/informatics is required. The student will receive extensive training in big-data analysis, genome-wide/species-wide
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behaviour as the temperature drops, combining quantum mechanics, large-scale molecular dynamics, and deep learning. Work with world-leading researchers at Warwick and the Max Planck Institute for Sustainable
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mycoprotein ABUNDA. This placement will provide hands-on experience of large-scale mycoprotein production linking fundamental biological research with industrial innovation and pre-market food technology. Using