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that suppress resistance gene transfer. Combining biophysics, microbiology, and materials science, the project will generate insights into how physical environments can be harnessed to control AMR. Approach and
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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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diversity of UL-CDRs Identify structural similarities between UL-CDRs and proteins from viruses, prokaryotes, and eukaryotes Predict potential antimicrobial and therapeutic functions of UL-CDRs Collaborate
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. Interested candidates may want to take a look at our recent work on machine learning molecular dynamics: https://www.nature.com/articles/s41467-024-52491-3 Project 2: Non-adiabatic Molecular Dynamics
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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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could be applied in biotechnology, healthcare, and environmental contexts. Employ synthetic and molecular biology tools to design and test new methods of controlling fungal behaviour. Impact and Outlook
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an academic that has supervised previous work, projects or similar), A short research proposal using this template: https://www.overleaf.com/read/bffndqvvkzcv#a53b9d (this template can be copied or downloaded
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challenging. This project aims to develop an ultrasound-assisted nanoparticle-based drug delivery system for targeted, controlled release of antimicrobials within these hard-to-reach oral microenvironments. By