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, soil evolution, and biodiversity. Using these insights, you will develop a classification system and decision-support framework to guide practitioners in selecting plants and designing rain gardens
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the development of a multi-layer hydrodynamic model capable of representing key three-dimensional flow processes in riverine and estuarine systems. This model will be coupled with advection–diffusion–reaction
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discrete element method (DEM). The research outcomes will provide critical insights into the microscale transport phenomena relevant to subsurface storage performance, including permeability evolution and
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known as ‘brittle bone disease’ is a genetic condition which affects the development of type I collagen. Patients with OI have poor mineralisation of their bones and consequently are much more likely to
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novel materials design, data science, and the clinical management of TLS. You will develop expertise in electrochemical biosensor design and development, progressing the technology toward clinical
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development, collaborate with experts across disciplines, and contribute to open-source tools that advance the wider AI community, and support long-term societal impact. We welcome applicants from background
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and adapting existing simulation models of transport systems and development of methods for resilience analysis. The PhD project will suit students from any quantified background, including engineering