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allowance of £21,805 (2026/27 UKRI rate), and a research training support grant of £20,000. Overview The transition to low‑carbon marine propulsion demands new ways of integrating emerging fuels such as
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support massive Internet-of-Things (IoT) deployments through technologies such as network slicing. At the same time, the emergence of large-scale quantum computing poses a significant threat to current
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their suitability for real-time emergency decision-making. This project addresses this challenge by combining physics-based modelling with data driven surrogate approaches. The first stage of the project will involve
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