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the spatial distribution of stomach bugs and antibiotic resistance are linked to other risk factors. It will use national data to: Map how infections and resistance change across time and regions. Explore how
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duration: 3.5 years Sponsor: School of Computing Supervisors: Dr Mujeeb Ahmed Eligibility criteria You must have, or expect to gain, a minimum 2:1 Honours degree or international equivalent in a relevant
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only of storing information, but also of manipulating, organising, and retrieving it through molecular data structures analogous to those used in computer science. Building on our pioneering experimental
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, a strong degree in computer science, cybersecurity, mathematics, or a related subject. Experience with cryptography, machine learning, or systems implementation is valuable, as are solid programming
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Doctoral Focal Award programme, you will join a cohort of researchers tackling major environmental challenges through engineering biology. This provides access to specialist training, industry engagement
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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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TechExpert pilot programme Overview The EngBio4Env doctoral training programme is designed to revolutionise how we tackle environmental challenges through engineering biology. Funded by the Natural
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reservoirs can provide a long-term, sustainable supply of heat and energy to serve society’s needs. The performance and operational lifespan of geothermal systems depend on the subsurface distribution of heat
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lifespan of geothermal systems depend on the subsurface distribution of heat, fluid flow pathways, and recharge mechanisms and fluid chemical composition. These factors control the precipitation, dissolution
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heterogeneity influences fluid flow, water–rock interactions and scaling. Evaluate how reservoir heterogeneity affects the likelihood and distribution of scaling within reservoirs and at production wellbores