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and identify structural barriers to nutrient release. Drawing on these mechanistic insights, you will also help to develop and test prototype nutritional supplements or modified food‑structure
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for devices containing quantum materials. The project addresses this gap by developing measurement protocols which test the Hamiltonian hypothesis and hence support the materials discovery process. [1] E. Lupo
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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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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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-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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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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, 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
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context characterised by increasing state intervention in the regulation of marriage, as reflected in recent legislative developments and public debates across Europe. These developments point to a growing
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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