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stamps to prove a message’s origin and integrity, are key to secure communication. Falcon is a new, standardised digital signature scheme that remains secure even against quantum threats. It uses small
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these technologies. The acceptance of digital technologies and their impact on the working practices of farmers, agricultural workers, and conservationists are underexplored (especially in the UK context). Drawing on
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
intelligent methods that integrate large language models (LLMs) and knowledge graphs to interpret technical documentation and structure complex engineering knowledge. The goal is to create digital twins
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This is an exciting opportunity to explore the role of complex microbial communities in promoting resilience and maximising yields in large scale algal bioreactors exposed to different environmental
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
placement with Rolls-Royce. The research focuses on AI-driven digital twins, using large language models and knowledge graphs for predictive maintenance in aerospace systems. Aerospace systems generate vast
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Technologies for e-governance and civic engagement play a crucial role in supporting and transforming public services and community interactions, with the potential to foster greater citizen
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Evaluation, RE-AIM), contributing to stakeholder reporting, and co-authoring academic outputs. This is a unique opportunity to shape the evaluation of a cutting-edge digital health innovation, contribute
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their operational lifespan. A key aspect of the project will be the incorporation of communication security measures, specifically targeting resilience against jamming and spoofing attacks. Students will investigate
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optimise a ‘Digital Twin’ of the Tees estuary to ensure that the NBS are deployed at locations optimal for performance and longevity while operating within the constraints placed upon deployment by other
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Evaluating the use of longitudinal over-the-counter healthcare sales data as a source of syndromic surveillance for community-based infections UK Health Security Agency and Nottingham University