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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
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PhD Studentship: Robust quantum control for quantum error correction The development of fault-tolerant quantum computing is one of the most coveted aims of quantum technology. It will bring about a
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relying on incremental optimisation of existing materials. By developing novel multilayer dielectric materials with ultra-high breakdown strength, the research will revolutionise electrified technologies
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aging. Furthermore, variability in study design, population characteristics and dietary exposures has yielded conflicting findings, hindering the development of a coherent and mechanistic understanding
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the operational life of battery-powered devices and reducing the environmental impact of large-scale deployments. Advancements in this area support the development of sustainable technologies across various
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-adherence to asthma medicines. Evidence synthesis: To develop "programme theories" based on implementation science mechanisms on how hospital services can deliver behavioural interventions. Co-design: Working
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one of the world’s leading centres for additive manufacturing research and development, invites applications for a fully funded PhD programme. Metal additive manufacturing is transforming how complex
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health. This is an exciting opportunity to work in a high profile, a pioneering initiative to develop novel built environment models to inform health outcomes. HD4 is a major international collaboration
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digital twins with quantified uncertainty. This project will develop a measurement-science-driven digital twin framework for energy assets, initially demonstrated on PV modules/fields and battery systems
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, stiffness loss, damage evolution, and transient creep interact under coupled loading. The project will develop temperature-dependent constitutive models informed by numerical simulation. Machine learning