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planned acts, such as targeted terrorist activities. This exciting project will focus on developing a mathematical model (and a supporting research software) to predict the key performance indicators of a
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, delivering high-resolution imaging and molecular Raman sensing to improve diagnosis of cancer and enable localised treatment. What we offer: The chance to work in a world-class multi-disciplinary team
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-order predictive models. The student will gain hands-on experience in industrial applications, including practical aspects of aeroengine oil system design, spending part of their PhD based on-site
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cyclical loading and interface effects - and rationalise the use of this method on various scales which society requires. This project requires a background which includes undergraduate geotechnics/soil
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lab is challenging the traditional view of soil-structure interaction (SSI). This project will investigate the critical role of changing particle shape on material wear and elevated stress transfer
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. The objectives are to: Develop and validate a CFD tool for interface-resolved simulations of boiling, built upon existing software available at Nottingham. Use CFD simulations to characterise bubble dynamics and
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Applications are invited to undertake a PhD programme, in partnership with Airbus, to address key challenges in ensuring adoption of sustainable approaches to fuel additives for aviation use
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phenotypes. The project investigates how extracellular matrix shapes the recruitment, retention, and function of immune cells, influencing tumour progression and therapeutic response. Findings will inform
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to the interests of one of the School’s research groups: Cyber-physical Health and Assistive Robotics Technologies Computational Optimisation and Learning Lab Computer Vision Lab Cyber Security Functional
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. oral/skin health products. The project will focus upon extending UoN patented polymer technologies, that deliver their anti-attachment performance without the use of actives that kill. Hence, they will