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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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, and manufacturing. By providing empirical evidence rather than purely theoretical assurances, the project will support regulators, system designers, and security engineers in making informed deployment
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cybersecurity, finance, healthcare, and public services, where accuracy alone is not enough. Such systems must also respect legal, regulatory, contractual, or organisational limits on their use and disclosures
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, but its human burden is badly understood. This PhD addresses this gap, integrating multiple high‑value datasets describing metagenomic and metatranscriptomic sequencing information, clinical and
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Award Summary 100% home fees covered, and a £31,805 stipend per year for students who are eligible for Home fee status. Overview Plastic pollution is one of the defining environmental challenges
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Phd Studentship in Computer Science: Empirical Security Assessment of AI Decision Engines in Cyber-Physical Systems Award Summary 100% home fees covered, and a minimum tax-free annual living
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precipitation, leading to scaling within reservoirs and production wells that reduces operational efficiency. Predicting where these processes will occur is a challenge because they are controlled in part by
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, combining biodiversity surveys, animal movement data, landscape modelling and remote sensing to understand how trees within agricultural landscapes influence wildlife movement and landscape connectivity
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between different types of tree-based agriculture? What proportion of water used by trees is derived from different soil depths and water sources? Can aboveground tree morphology be used to predict
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investigate the wildlife connectivity potential of tree-based agricultural systems, combining biodiversity surveys, animal movement data, landscape modelling and remote sensing to understand how trees within