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will uncover the interfacial solvation structure, validated through comparison between computed and experimental sum-frequency vibrational spectroscopies, as well as the mechanism of chemical
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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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, 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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Abstract: Medical device-associated infections (MDAIs) are a major clinical and economic burden, particularly in orthopaedics where implant-related infections can lead to severe complications, including
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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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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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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
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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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. Desirable Prior Experience Previous experience working in the field of microbial genomics, bioinformatics or computational biology would be desirable How to apply This project is offered as part of the Centre
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that suppress resistance gene transfer. Combining biophysics, microbiology, and materials science, the project will generate insights into how physical environments can be harnessed to control AMR. Approach and