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embedded into cyber‑physical systems (CPS) such as autonomous vehicles, smart grids, industrial control systems, robotics, healthcare devices, and intelligent transport infrastructure. While significant
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move into practice? This project will examine how implementation considerations can be embedded earlier in innovation pathways to inform policy and healthcare decision-making. Although horizon scanning
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foundation models trained on large-scale Earth Observation data offer a promising alternative by learning transferable embeddings adaptable to multiple tasks. Their integration with hydrodynamic modelling
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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