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to build and characterise these DNA devices. The project will also explore optimisation methods to improve reliability, scalability, and performance in complex nucleic-acid-based systems. The student will
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fertilisers. While these fertilisers have transformed global food production, their manufacture is highly energy-intensive and their use contributes to significant environmental pollution. This project explores
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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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, they are inherently fragile and often lost after repeated washing. Drawing inspiration from contemporary organic chemistry, this project will explore methods to permanently restore structural integrity by covalently
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repeated washing. Drawing inspiration from contemporary organic chemistry, this project will explore methods to permanently restore structural integrity by covalently repairing damaged bonds within hair
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acquisition in biology. With this knowledge in hand, you will then use AI guided protein engineering to explore the feasibility of developing ‘designer’ lanthanophores. Finally, natural and engineered
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Campylobacter disease burden is assessed, identify drivers of change and possible interventions. You will explore how genomic diversity relates to clinical outcomes, whether machine‑learning approaches can
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, you will: Analyse energy use across a real industrial process Identify opportunities for heat integration and efficiency improvements Evaluate emerging technologies for process decarbonisation Explore