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Award summary 100% home fees covered, and a minimum tax-free annual living allowance of £21,805 (2026-27 UKRI rates). Overview Artificial Intelligence (AI)-driven decision engines are increasingly
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within its host, and the molecular and physiological interactions that underpin this unique symbiosis. By combining experimental approaches across engineering biology, the project will provide new insights
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biology, AI guided protein engineering and chemical analysis, you will establish the molecular basis of REE binding and discrimination in naturally evolved lanthanophores, establishing the ‘rules’ of REE
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a key challenge in sustainable process engineering: translating microbial electrolysis cell (MEC) technology from lab-scale innovation to robust, industrial deployment. The research will sit at
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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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PhD Studentships - Process Industries: Net Zero Centre for Doctoral Training - Chemical Engineering for Sustainable Wastewater-to-Resource Systems Award Summary 100% fees (UK Home only), a minimum
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in Chemistry, Chemical Engineering, Synthetic Biology, Engineering Biology, Molecular Biology, Microbiology, DNA/RNA Nanotechnology, or closely related discipline, be excited by both hands
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predictive models of formation alteration. The project is funded by Eni S.p.A through the UK Energy Futures (ukenergyfutures.org ). research partnership, bringing together geoscientists, engineers, and social
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decisions. The project is funded by Eni S.p.A through the UK Energy Futures (https://ukenergyfutures.org ). research partnership, bringing together geoscientists, engineers, and social scientists to advance
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of our time. This PhD project aims to develop the next generation of engineered enzymes capable of breaking down polyethylene terephthalate (PET), the plastic used in bottles, packaging and textiles