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knowledge for sustainable formulation design. Using different data-driven feature representations, AI foundation models will generate chemical embeddings to predict key physicochemical properties. Coupled
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. Moreover, a 12-week placement and regular meetings with Syngenta will give the student first-hand experience of research in a world-leading industrial setting. For more information about research in
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in treatment receipt, time-to-treatment and treatment adherence will be assessed using linked data from the Clinical Practice Research Datalink, Hospital Episode Statistics and the Cancer Registry. In
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the rich, unstructured information found in clinical notes and cannot effectively gather data on lifestyle and social determinants of health. This PhD project will pioneer a novel, hybrid AI framework
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(sleep stage) classifiers based on the data available to implanted DBS systems, with the ultimate goal of enabling brain state optimised therapy. Specifically, this means developing sleep staging
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. Geotechnical site investigations (SI) may cost up to £500,000 per borehole, introducing significant financial and scheduling risks. Suboptimal data collection can increase costs, require additional surveys, and
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. Geotechnical site investigations (SI) may cost up to £500,000 per borehole, introducing significant financial and scheduling risks. Suboptimal data collection can increase costs, require additional surveys, and
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waste)? How much of an improvement to air quality could be achieved by improving user behaviour? The student will use this data along with DEFRA commissioned surveys, together with laboratory data and
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technology increases the grid’s exposure to cyber-attacks, which can compromise measurement signals, disrupt control commands, or induce model or data-driven instability. This project aims to develop a robust multi
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modelling and CFD simulations. A suite of flow measurement techniques will be used to characterize the testing environments, capture flow fields around the rider, and collect performance-related data