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theme of this PhD programme is to examine the interaction between health and modifiable risk factors, particularly physical activity and diet. Many health conditions are linked to modifiable risk factors
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approach towards artificial intelligence that uses the natural dynamic behaviour of physical systems (such as light and electronics) to process information efficiently. You will work at the intersection
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PhD offers an exciting opportunity to explore reservoir computing, a new approach towards artificial intelligence that uses the natural dynamic behaviour of physical systems (such as light and
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equivalent in engineering, physics or chemistry, depending on the project. Applicants without a master's qualification may be considered on an exceptional basis, provided they hold a first-class undergraduate
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regeneration, resulting in significant energy penalties and limited operational flexibility. This project proposes a novel biomass-based negative emissions process that leverages the reversible CaO/CaCO
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. Please note that, due to funding restrictions, this studentship is only available to UK (home fees) citizens. Start date – 1 October 2026 Application Process Informal enquiries may be addressed to: Dr
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recognised as a critical pathway for net-negative emissions but current systems are energy-intensive and inflexible. This project proposes a novel biomass-based negative emissions process using the reversible
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), produce a flue gas with a high concentration of CO2 that allows easier sequestration without energy-intensive preprocessing. However, production of oxygen is an energy-intensive process. Industrial scale
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engineering, structural, aerodynamic & manufacturing process modelling and optimisation techniques that will transform current design & development practices. Together we will make technological advances
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and conduct laboratory experiments to assess graphite smoulderability, develop physics-based models to predict scalability, and perform techno‑economic analyses and life‑cycle assessments using machine