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of £25,726 plus a research training support grant of £20,000 and 100% fees paid. Overview This PhD project aims to develop a computationally efficient framework for the real-time prediction of river water
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traits such as canopy interception, transpiration, and rooting depth influence stormwater retention, soil evolution, and biodiversity. Using these insights, you will develop a classification system and
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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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benefits. This exciting project, in partnership with the globally leading agrochemical company Syngenta, will develop and apply new organosodium reagents in organic synthesis. This will build upon our recent
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will also be provided. Overview This project will develop an adaptable Machine Learning (ML) hardware architecture to solve Artificial Intelligence (AI) classification tasks using Internet of Things (IoT
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Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). Additional project costs will also be provided. Overview This project will develop
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insights into the microscale transport phenomena relevant to subsurface storage performance, including permeability evolution and CO2 containment. Furthermore, the framework developed here can be extended
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. This PhD project will investigate how biofouling affects the hydrodynamic, thermal and fluid-structure interaction performance of dynamic flexible cables and develop novel engineering solutions to enhance
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element modelling techniques and scripting. Osteogenesis imperfect (OI), also known as ‘brittle bone disease’ is a genetic condition which affects the development of type I collagen. Patients with OI have
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allowance of £20,780 (2025/26 UKRI rate). Additional project costs will also be provided. Overview This PhD will develop a Synovium-on-a-Chip, using 3D bioprinting, microfluidic engineering, and computational