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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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, numerical methods, molecular biology methods (e.g. cloning, PCR) and bacterial plasmid mating. How to apply This project is offered as part of the Centre for Doctoral Training in Engineering Solutions
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Experience with NMR, protein expression, or computational methods is advantageous Interest in antiviral drug discovery and interdisciplinary research How to apply This project is offered as part of the Centre
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genomics, microbial ecology, and bioinformatics, the project will generate a curated catalogue of phages host relationships, and enzymes for future experimental validation. Approach and Methods Metagenomic
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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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techniques. The findings will lay the groundwork for clinical application and contribute to the development of targeted therapies for resistant bacterial infections. Approach and Methods Atomic force
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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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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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testing, with clinical input from RNOH to ensure translational relevance. Approach and Methods: Design and fabricate porous, nanoengineered surfaces with anti-adhesive, slippery properties Characterise
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and quorum sensing, offering new strategies to overcome resistance. Approach and Methods: Use cross-linking mass spectrometry to identify peptide targets in mycobacterial membranes Study effects on cell