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better ways to design neuromorphic or brain-inspired computing systems. These mechanisms must be energy-efficient, reconfigurable, and secure, especially for edge devices. This PhD project focuses
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Summary This PhD investigates how regenerative textile systems can be developed through design-led, field-to-field models that integrate fibre cultivation, land stewardship, and community making
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the pandemic creating an unacceptable backlog of patients awaiting care. Addressing this requires not only investment in hospital capacity but also innovative digital solutions that can shift care upstream
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natural fibres and bio-resins, combining renewable materials with advanced processing and computer-aided design/simulation. The research aims to create high-performance, sustainable composites with tailored
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. These clinicians will advise on relevant injury scenarios and therefore assist with identifying designs adaptable to commercial US imaging systems. After an initial review of the relevant literature and some
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computational fluid dynamics (CFD) and computer-aided design (CAD) software. They should also be prepared to engage in both computational analysis and experimental testing as required. Essential criteria
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management strategies. Health and social care professionals (HSCPs) require training and tools to support safe and effective patient management (Mann et al., 2021; Thavarajah et al., 2018). Aim To co-design
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, computational fluid dynamics (CFD) models, are used to aid fire safety design, but they are often computationally intensive and time-consuming, hindering reliable fire safety assessments. Artificial intelligence
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Apply and key information This project is funded by: Department for the Economy (DfE) Summary Many modern technologies — from medical brain-computer interfaces (BCIs) to automated factories — use
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will learn to design rigorous evaluation studies measuring detection accuracy, false positive rates, and investigator trust in AI-generated materials. Outputs include a proof-of-concept scenario