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Overview Uncontrolled runoff from urbanisation and more frequent extreme convective rainfall under climate change is increasingly recognised as a major global societal challenge. Blue Green Infrastructure
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autonomous sensing systems. The project requires experience with setting up sensing hardware, software defined radio systems and other lab equipment for data collection in addition to experience of programming
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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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slow sand filters. This project suits graduates seeking careers in drinking water technology, sustainable infrastructure, and low carbon process design. Drinking water production is under mounting
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Location: Addlestone, Surrey KT15 3LS The Veterinary Medicines Directorate (VMD) is an Executive Agency of the Department for Environment, Food and Rural Affairs (Defra). Our aim is to protect
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systems to act as an oversight of the AI. This is costly, complex, and time consuming, nullifying the benefits of using an AI approach. This project’s two aims are (1) Establish the best approach
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of the project is open. Although eco-ableism is a particularly recent term, its use sharpens focus on what language such as ‘natural’, ‘right’, ‘good’, ‘accessible’, and ‘advocacy’ looks like in activism, policy
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of the complex physics governing the interaction between the heat source and the material. Additionally, it seeks to develop an efficient modelling approach to accurately predict and control the temperature field
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ambitious research team exploring quantum phenomena in large scale and complex systems, from high-temperature Bose-Einstein condensates to trapped solid-state particles in ultra-high vacuum. We combine
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essential to determine how these models can be made lightweight in terms of computational complexity, memory footprint, and energy consumption for deployment on edge devices or constrained gateways