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Data-driven predictions of dynamical systems are used in many applications, ranging from the design of products and materials to weather and climate predictions. Mathematical concepts from geometry
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advanced technology and business needs, creating smart monitoring systems, predictive maintenance solutions, and digital twins that solve pressing challenges across healthcare, energy, aviation, and
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is to discovering the mechanisms of resistance evolution and develop biomarkers that can predict which patients are at risk of developing resistance. Work at Manchester and Liverpool has focused
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to increase each year. Tuition fees will also be paid. Home students are eligible. A funded PhD studentship is available in the field of computational inorganic chemistry. The project will involve prediction
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://doi.org/10.1039/D2CC00532H ) that have potential applications in sensing, separations and catalysis. Our research focusses on three distinct challenges to achieving efficient material prediction: i
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of Health and Life Sciences. Prostate cancer is highly heritable and a good target for genetic risk stratification. Prostate cancer genetic risk scores (GRS) aggregate common variants into a predictive score
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. Your work will feed directly into the development of predictive models that link microstructure to performance, guiding the design of alloys that are stronger, more reliable, and more efficient. By doing
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into quantitative frameworks for prediction of the contribution of An. stephensi to malaria transmission, and optimising surveillance and control for this and other native vector species in urban settings. 2. Build
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signs of cardiovascular changes, adaptively model physiological patterns, and identify predictive biomarkers of maternal health. You will develop and apply cutting-edge techniques in: Signal processing
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that can be validated with experiments and bottom-up models at multiple scales in order to predict the macroscopic response. Hence, this research will investigate the degradation of metallic materials under