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their pandemic potential and classification as bioweapons. This project aims to develop a machine learning-accelerated NMR platform for the discovery of high-affinity inhibitors targeting viral RNAPs. Building
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PhD Studentship: Nanopore Technology for Rapid and Accurate Measurement of Antibiotic Concentrations
the environment and the lack of routine monitoring tools. Current methods for measuring antibiotic concentrations, such as HPLC and mass spectrometry, are expensive and require complex instrumentation, limiting
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learning and machine learning for biological data Sequence and structure analysis of large-scale datasets Functional annotation and evolutionary analysis Collaborative research with experimental virology
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-scale metagenomic assembly and genome recovery • Comparative genomics and molecular evolution • Machine-learning-based protein prediction • Data integration, bioinformatics and phylogenetics • Scientific
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microscopy (AFM) for molecular-scale visualisation of living bacteria. In vitro assays to measure growth and stress responses. RNA-seq to analyse gene expression under treatment conditions. Impact and Outlook
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) alter resistance mechanisms. Use high-throughput screening and biofilm models to identify conditions that reduce multidrug resistance (MDR). Build a systems-level understanding of how these mechanisms