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subject or subject relevant to the proposed PhD project (inc. computing, mathematics, engineering etc.). Enthusiasm for research, the ability to think and work independently, excellent analytical skills and
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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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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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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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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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identify your programme of study: Search for the ‘Course Title’ using programme code: 8020F Research Area: Biological Sciences Select ‘PhD Biological Sciences’ as the programme of study. You will then need