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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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cultivation and molecular cloning Quantitative data analysis and process optimisation Synthetic and molecular biology techniques Research design, interdisciplinary collaboration, and scientific communication
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PhD Studentship: Nanopore Technology for Rapid and Accurate Measurement of Antibiotic Concentrations
environments. Training and Student Development: The student will gain hands-on experience in: Molecular biology and aptamer engineering Nanopore fabrication and single-molecule sensing Data acquisition and
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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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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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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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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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, with collaboration across synthetic biology, computational biology, and microbiology. The student will work within a dynamic, interdisciplinary team with access to state-of-the-art facilities and
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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
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of computational biology and infectious disease. The student will benefit from joint supervision, regular group meetings, and collaboration with the Chandran Lab in New York. The project is supported by cutting-edge