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Field
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resource-constrained environments, and it is important to investigate whether features derived from different network layers can be effectively combined. Machine Learning Model Development & Optimization
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well as justification for actions taken. This project aims to advance the state of AI-powered red agents by developing an adaptive multi-agent framework capable of learning about its environment and evolving attack
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the UKRI rate (£20,780 for 2025/26) and tuition fees will be paid. We expect the stipend to increase each year. Poor air quality is the largest environmental risk to public health, and the World Health
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/or engineering, and a keen interest in deploying data analysis and artificial intelligence (AI) to solve real-world problems in the built environment. The project will advance the capabilities of Pulse
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scientific backgrounds. The Laboratory provides a welcoming and collaborative environment with a wide-range of family-friendly benefits and development opportunities. More about the Sainsbury Laboratory
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
that not only simulate, but also reason, adapt, and provide explainable insights across safety-critical environments. Key research objectives include: Extract structured engineering knowledge from
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Supervisor details: Lead Supervisor Dr Christos H. Halios, c.halios@reading.ac.uk , School of Built Environment Co-supervisors Stefan T. Smith, s.t.smith@reading.ac.uk , School of Built Environment
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-world problems in the built environment. The project will advance the capabilities of Pulse, an innovative low-pressure airtightness testing technology co-developed by the University of Nottingham and
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individuals, and those who identify with diverse ethnicities, genders, sexual orientations, cultures, and socioeconomic statuses. Cranfield strives to provide an accessible and inclusive environment to enable
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from access to world-class experimental and computational facilities and participate in a cross-institutional, interdisciplinary research environment. Applicants should have or expect to obtain a First