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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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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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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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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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refer to the following website for eligibility criteria: https://www.ucl.ac.uk/prospective-students/graduate/research-degrees/physics-and-astronomy-mphil-phd . The studentship will cover university fees
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such as, but not limited to, chemical, pharmaceutical, biochemical, or mechanical engineering; pharmaceutical sciences; materials science; or related areas. Applicants from computer science with relevant
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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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Abstract: Antibodies are a rapidly expanding class of therapeutics with applications in infectious disease, cancer, and immunotherapy. Among them, bovine antibodies with ultralong complementarity-determining
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, and biotechnology. Research Environment: The project is a collaboration between UCL Chemistry, Pharmacy, and Chemical Engineering departments. Students will work across multiple labs, benefiting from a
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for microbiology and screening assays, MRC and Wellcome-funded. Both labs promote an open, collaborative culture and have a strong track record of PhD supervision. Desirable Prior Experience Some prior experience in