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of diverse industrial processes. While mono-material felts offer simplified recyclability, blended fibre felts remain essential for applications requiring enhanced performance, such as high
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. Experimental studies will be performed in wind tunnels with advanced measurement techniques with high spatial and temporal resolutions. Realistic car models (DrivAer models) will be considered in this study and
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of such interventions on the brain and behaviour remain poorly understood. This PhD project will explore the neurophysiological and behavioural impact of GABA-enhancing, non-alcoholic interventions. Using high-density
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failure due to high-cycle fatigue, reducing the efficiency and safety of the gas-turbine engines. The development of robust damper devices that reduce the vibration levels is of paramount importance
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enhance the sustainability of polymeric materials. The candidate will research biomass sources and extraction techniques, exploit chemical modification pathways, and investigate performance of the novel
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-edge advancements in automated drug discovery through the integration of high data-density reaction/bioanalysis techniques, organic synthesis, laboratory automation & robotics and machine learning
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. The integration of AI into hardware not only enhances performance but also reduces energy consumption, addressing the growing demand for sustainable and efficient computing solutions. This PhD project delves
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molecular simulation) and the skills involved in using high-performance computing Continual interaction with an ongoing experimental program Introduction to chemical engineering design principles via flow
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motivated applicant to undertake an original and applied programme of research on the development of community-led approaches to mental wellbeing in Wigan as part of Edge Hill University’s Civic Agreement
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This project provides an excellent opportunity to develop state-of-the-art mathematical models and computational tools of emerging respiratory pathogens, within a world-renowned research group