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studies have highlighted vulnerabilities in learning‑enabled CPS, demonstrating that small, carefully crafted perturbations can cause unsafe or malicious behaviours. However, much of the literature focuses
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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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address this challenge through quantifying the conditions under which geochemical alteration occurs, and the associated uncertainty in predicting reservoir behaviour. This will be done with laboratory
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to tackle climate change through engineering? This fully-funded PhD offers a unique opportunity to work directly with industry to decarbonise a real manufacturing plant — delivering solutions with immediate
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Award Summary 100% fees (UK Home only), a minimum tax-free annual living allowance of £21,805 (2026/27 UKRI rate), and a research training support grant of £20,000. Overview This PhD project targets
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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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PhD Studentships - Process Industries: Net Zero Centre for Doctoral Training - Chemical Engineering for Sustainable Wastewater-to-Resource Systems Award Summary 100% fees (UK Home only), a minimum