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. Developing efficient, scalable, and physically realizable repeater-assisted architectures for entanglement distribution protocols remains a significant theoretical and practical challenge. This PhD project
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artificial intelligence. The research will provide valuable experience in game development, user-centred design, accessibility research, and experimental evaluation. The project offers access to specialist
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protection benefits provided by restored saltmarshes. The successful PhD candidate will work with laboratory experiments and develop numerical and AI models capable of supporting coastal management and
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learning (FL), where multiple UAVs collaboratively train artificial intelligence models without sharing raw mission data. This supports privacy and efficiency, but it also creates a serious security risk: a
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VRGeoscience’s commercial platform VRGS. Objectives The objectives include: Build a benchmark dataset capturing how multiple experts interpret the same data, including their confidence in each judgement. Develop
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to build a strong academic or industry career. Objectives This project develops and evaluates modular, adaptive LLM architectures that allocate capacity according to linguistic complexity rather than corpus