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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