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remain limited due to a lack of systematic comparisons and underused legacy datasets. This project will develop a framework to predict sediment properties directly from geophysical data. Legacy SI data
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-of-the-art AI and computing facilities, receive tailored training and professional development, collaborate with experts across disciplines, and contribute to open-source tools that advance the wider AI
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medicine, reducing reliance on animal models and advancing mechanobiology-informed materials design. We seek a motivated, creative, and curious PhD candidate excited to bridge disciplines and co-develop
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on empirical optimisation, leading to inefficiencies in energy use and impurity removal. This PhD project proposes to develop a Coupled Computational Fluid Dynamics-Discrete Element Method (CFD-DEM) model
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, or computational strategies to your interests—whether that involves large-scale reservoir simulation, pore-scale physics or supercritical CO2 behaviour. The project will be developed within a vibrant research
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) into the tumour pre-operatively. Wireless methods hold promise however, due to the scale of current RFID tags, delivery is problematic for both clinicians and patients. The PhD provides an opportunity to develop
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to their implementation. You will work in partnership with the Environment Agency, and the research could contribute to the development of national strategic water resources infrastructure. Your findings also have the
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aims to develop novel materials and components that facilitate strong light-matter interactions and enhance nonlinear optical responses for advanced photonic functionalities. This project is multifaceted
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. Overview This PhD project is part of the EPSRC Centre for Doctoral Training in Process Industries: Net Zero (PINZ) . The PINZ CDT will train the next generation of process and chemical engineers, and
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-efficient and high-performance photonic devices have been driven by the quantum revolution. This PhD studentship aims to develop novel materials and components that facilitate strong light-matter interactions