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PhD Studentship: Nanopore Technology for Rapid and Accurate Measurement of Antibiotic Concentrations
for small-molecule sensing. By engineering nanopores with molecular recognition elements such as DNA aptamers, this project will enable multiplexed, real-time detection of diverse antibiotics, supporting both
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Supervisors: Dr Lucy van Dorp Prof Joanne Santini Abstract Phages - viruses that infect bacteria - are rich sources of molecular diversity with potential applications in antimicrobial discovery
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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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directional molecular motion required for microscopic machines. Coupled PMMs have demonstrated concerted, directional intramolecular rotation to support molecular translation. These dynamics are driven by
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rather than the structured biofilms found in real-world environments. This project investigates how engineered surface topographies influence HGT dynamics, aiming to develop design principles for materials
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PhD studentship: Exploring Confined Molecular Transport for Next-Generation Fluidic Innovations (Students World-wide) Award Summary 100% fees covered, and a minimum tax-free annual living allowance
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for the rapidly developing quantum technologies. Quantum-optical measurements become especially intriguing in systems such as atomic ensembles or molecular processes whose quantum nature remains unclear. These open
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at scale. Training and Student Development: The student will gain interdisciplinary training in: Advanced molecular cloning, CRISPR-Cas systems, and genome engineering Bioreactor operation and process
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of molecular transport. This PhD project will focus on creating confined interfaces to investigate the physics of both static and dynamic molecules. Further details: gtr.ukri.org/projects?ref=MR%2FX03660X%2F1
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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