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. Synthetic analogues will be developed and screened alone and in combination with existing antimicrobials. The ultimate goal is to design novel chemotherapeutic combinations that disrupt cell wall remodelling
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disinfectants. With antimicrobial resistance (AMR) on the rise, there is an urgent need for non-antibiotic strategies to prevent and control biofilm formation on medical devices. This PhD project proposes a novel
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. Atomistic Simulation of electronically excited processes in molecules and materials is essential for our understanding of the working principles of emerging energy conversion technologies, e.g. solar cells
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enzymes. Mapping bacterial defence systems to infer predictive features of co-evolutionary dynamics. Impact and Outlook This project will: • Advance understanding of microbial co-evolution. • Deliver a
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diagnostics, empirical antibiotic use is common, exacerbating resistance. This project aims to develop a next-generation lateral flow assay (LFA) platform for rapid, ultrasensitive detection of RTI pathogens
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of computational biology and infectious disease. The student will benefit from joint supervision, regular group meetings, and collaboration with the Chandran Lab in New York. The project is supported by cutting-edge
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Supervisors: Prof. Giorgio Volpe Prof. Lena Ciric Abstract Horizontal gene transfer (HGT) is a major driver of antimicrobial resistance (AMR), yet most research focuses on well-mixed lab cultures
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basic microbiology, immunology, and/or microscopy would be an advantage, but not essential. How to apply This project is offered as part of the Centre for Doctoral Training in Engineering Solutions