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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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on Project 1 will become a member of the UCL Doctoral Training Centre (CDT) for Data Intensive Science, which administers the PhD studentship. If you apply to Project 1 please submit, in addition to the above
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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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and fluorescence imaging • Microfabrication and surface engineering • Quantitative microscopy and data analysis • Interdisciplinary collaboration across microbiology, engineering, and biophysics
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Engineering, Physical Sciences, and Mathematical Sciences. Why chose UCL? UCL has a history of academic excellence and is consistently ranked among the world's top universities, with many of our faculties
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infection-resistant implant coatings that do not contribute to AMR. The technology has the potential to reduce infection rates, improve implant longevity, and lower healthcare costs. The approach may also be
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characterisation is advantageous How to apply This project is offered as part of the Centre for Doctoral Training in Engineering Solutions for Antimicrobial Resistance. Further details about the CDT and programme
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Training in Engineering Solutions for Antimicrobial Resistance. Further details about the CDT and programme can be found at AMR CDT website Applications should be submitted by 12th January 2026.
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for Doctoral Training in Engineering Solutions for Antimicrobial Resistance. Further details about the CDT and programme can be found at AMR CDT webiste Applications should be submitted by 12th January 2026.
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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