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). While mRNA vaccines have demonstrated rapid development and high efficacy, current formulations primarily protect against severe disease rather than preventing infection at mucosal entry points
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for developing new treatments against drug-resistant infections. Their rapid action and ability to target bacteria in several ways make it difficult for antimicrobial resistance to emerge. Despite this promise
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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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PhD Studentship: Nanopore Technology for Rapid and Accurate Measurement of Antibiotic Concentrations
their use in field or point-of-care settings. This project aims to develop portable, nanopore-based sensors for the rapid and accurate quantification of antibiotic concentrations in environmental and clinical
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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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: Machine Learning Molecular Dynamics. The project involves the development and application of machine learning methods that enable a major boost of the time and length scales accessible to ab-initio/first
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, more effective medical devices and reduce reliance on antibiotics, contributing to global AMR mitigation efforts. Training and Student Development: The student will gain interdisciplinary training in