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adaptation options, evaluate trade-offs, analyse policy and governance frameworks, and compare UK and international best practices. Develop high value technical skills: strategic and analytical thinking
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. The primary objective of this project is to investigate the transport, migration, and accumulation of precipitated particles in CO2–water–rock systems using computational fluid dynamics (CFD) coupled with
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framework capable of accurately predicting pollutant transport and dispersion in coastal waters. By combining high-fidelity numerical simulations with data driven surrogate models, the proposed research aims
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. Reliable, high-resolution rainfall data is urgently needed to improve flood prediction, climate adaptation, and infrastructure resilience. This project will tackle that challenge by developing a new blended
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performance of AI models for fall detection. The research will combine experimental studies on different floor systems, finite element simulations of vibration propagation, and AI-based signal analysis
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consultant radiologists and surgeons from Gateshead Breast unit to assess device performance and clinical safety. Number Of Awards 1 Start Date 1st October 2026 Award Duration 4 Years Sponsor EPSRC Supervisors
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inaccurate, and rain gauge networks, while reliable, are too sparse to capture highly localised storms. Reliable, high-resolution rainfall data is urgently needed to improve flood prediction, climate
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river science with pressing real-world challenges. They will work with a unique decade-long dataset of high-resolution multibeam bathymetry and flow surveys, enabling detailed analysis of how riverbeds
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. This PhD project offers the opportunity to spearhead cutting-edge research into how drought affects the health and performance of UK levees. You will explore how environmental stressors compromise levee
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of high-resolution multibeam bathymetry and flow surveys, enabling detailed analysis of how riverbeds evolve under and after mining. These observations will be complemented by physical experiments in