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and alteration of minerals, which can clog up wells (e.g. through scale formation) and change the physical characteristics of reservoirs, affecting their performance. The aim of this project will be
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scales. Constrain reactive reservoir simulations to investigate how reservoir heterogeneity influences fluid flow, water–rock interactions and scaling. Evaluate how reservoir heterogeneity affects
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‑physical environments. Impact and Relevance The proposed research directly addresses challenges faced by industries deploying AI‑enabled CPS in safety‑critical environments such as transportation, energy
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infections affect millions of people in the UK each year. While often mild, they can be serious for vulnerable groups. These infections also impose a healthcare burden through GP visits, hospital stays, and
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and alteration of minerals, which can clog up wells (e.g. through scale formation) and change the physical characteristics of reservoirs, affecting their performance. The aim of this project will be
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discovery pipelines and robotic high-throughput workflows, your research will centre on the enzyme engineering and experimental validation that drive real-world impact. As part of the NERC-funded EngBio4Env
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response. Policy Impact: Part of the NIHR HPRU in Gastrointestinal Infections collaboration between UEA, UKHSA, Quadram and Newcastle University, you will interact with the Public and Community Involvement
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Phd Studentship in Computer Science: Empirical Security Assessment of AI Decision Engines in Cyber-Physical Systems Award Summary 100% home fees covered, and a minimum tax-free annual living
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, tangible impact. This project focuses on the Futamura cellulose-to-cellophane production site in Cumbria , where you will develop strategies to reduce energy use and transition towards Net Zero operation