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propagate through bacterial communities while deactivating AMR genes. However, current designs are limited by scalability and complexity. This project aims to overcome these limitations by integrating large
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prevalent noncommunicable disease globally. The confined and complex architecture of the oral cavity, particularly in regions such as dentinal tubules and root canals, makes effective antimicrobial treatment
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. Approach and Methods: Apply deep learning-based modelling and clustering to analyse a curated dataset of hundreds of thousands of UL-CDR sequences Characterise sequence–structure relationships and structural
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-penetrating capabilities Evaluate delivery efficiency in cell-based models mimicking lung and immune tissues Identify structure–function relationships to inform rational design of future mucosal delivery
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-pharmacological antifungal therapies. Approach and Methods: Develop and optimise laboratory models of fungal growth and resistance. Investigate how environmental stress factors (e.g. osmotic and nutrient stress
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, and processing conditions influence their behaviour, creating a vast and complex landscape that traditional experimentation cannot navigate efficiently. This project addresses this challenge by bringing
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). Design and fabricate patterned surfaces optimised for enzyme immobilisation. Assess synergistic antibiofilm efficacy under static and dynamic (flow-based) biofilm models. Apply advanced microscopy, protein
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: Produce recombinant viral RNAP transcription complexes in insect cells Functionally characterise RNAP activity and validate assay systems Screen fragment libraries using fluorine-based NMR spectroscopy
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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