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annually, with life-threatening consequences for immunocompromised individuals. With few antifungal drugs available and resistance on the rise, this project explores a novel strategy: engineering the fungal
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PhD Studentship: Nanopore Technology for Rapid and Accurate Measurement of Antibiotic Concentrations
samples. Nanopore technology, which detects molecules via changes in ionic current as they pass through nanometer-scale pores, has revolutionised nucleic acid sequencing and holds untapped potential
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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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language model (LLM)-based genome design tools with bioprocess engineering to create next-generation therapeutic conjugative plasmids. These engineered plasmids will be optimised for industrial-scale
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The UCL EPSRC Landscape Award (UELA) is recruiting 50 fully funded, 4-year PhD studentships. You can apply for any of the projects offered through the UELA project catalogue (over 100 projects
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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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of industry and healthcare partners, a rare opportunity to develop a highly sought-after interdisciplinary skill set that is in demand across both academia and industry. Training and Student Development
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(SONATA, EP/V028626/1) and brings together expertise in microfluidics, fluid dynamics, nanoparticle engineering, and dental microbiology. Approach and Methods: Engineer in vitro models of bacterial biofilm
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disinfectants. With antimicrobial resistance (AMR) on the rise, there is an urgent need for non-antibiotic strategies to prevent and control biofilm formation on medical devices. This PhD project proposes a novel
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Develop an active learning-driven platform for compound selection and optimisation Integrate robotic sample preparation, automated data acquisition, and computational analysis Advance five existing