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information storage. However, most DNA storage systems remain passive: data are written, archived, and read. This PhD project will help pioneer a new generation of dynamic DNA data storage systems capable not
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belowground water use and root-zone water dynamics? Can mechanistic models be used to predict how different tree-based farming systems influence water stress and water availability under future climates? For
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depths and water sources? Can aboveground tree morphology be used to predict belowground water use and root-zone water dynamics? Can mechanistic models be used to predict how different tree-based farming
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RPE–Photoreceptor-choroid co-culture systems in perfusion platforms, enabling dynamic studies of nutrient/waste exchange, complement deposition, and stress propagation across the outer retina. What You
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intensification, dynamic operation, and resource recovery. The project combines modelling, pilot-scale experimentation, and techno-economic assessment to establish MECs as viable unit operations within next
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innovative and dynamic sector, estimated at more than £100 billion and growing at over 6% every year. This project aims to deliver a step-change in hair care technology by developing new strategies to form
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readily damaged during routine styling treatments involving heat, chemical processing, and mechanical stress. The global hair care market is a highly innovative and dynamic sector, estimated at more than
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and does not fully exploit real-time satellite data for nationwide dynamic prediction. Recent advances in deep learning have improved performance in flood mapping tasks, yet these models often remain