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Field
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ecological resilience and community wellbeing. You will quantify how spatial patterns, network structure and environmental context influence the capacity of blue spaces to provide co-benefits such as
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supported by the Enhanced Composite and Structures Centre at Cranfield. About the sponsor We will work in collaboration with Cambridge Nanosystems, which is a world leading high quality, high performance
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of Medicine, which is internationally recognised for its work in cardiovascular science, thrombosis, fibrin clot structure and inflammation. The project will be based in the Leeds Institute of Cardiovascular
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, and data-intensive processing, with real-world applications across aerospace, energy, and infrastructure. Aim This project will pioneer the first-generation structured light projection robotic system
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. Current XAI methods are often generic and overlook industrial realities. This project will embed user-centric explanations directly into machine learning workflows using structured, ontology-driven
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: How sensitive are the emission factors of the different stoves to user behaviour, and what are the underlying mechanisms? What are the emissions profiles of solid waste (e.g. construction timber, garden
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the structure and robustness of the ecological networks supporting reef fish communities at different positions along depth, latitude, and longitude gradients; challenging these networks under hypothesized future
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structure. This PhD project will investigate systemic financial risks emerging from the convergence of agentic artificial intelligence and retail trading platforms. Using a combination of experimental
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water systems. Key questions will address how upstream management influences city-level water access, how governance structures shape policy outcomes, and how future climate conditions will affect
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model of high-pressure mechanical seals. Apply Computational Fluid Dynamics (CFD): Simulate gas film flow within the microscopic seal gap. Couple CFD with Structural Models: Study the fluid-structure