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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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targeting AMR gene suppression AI-driven genome design: Use LLM tools (e.g. PlasmidGPT, Evo2) to refactor plasmid genomes for enhanced manufacturability, safety, and performance Microbial validation: Test
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with experimental virologists to validate computational predictions Impact and Outlook: This project will uncover the untapped structural and functional potential of bovine UL-CDRs, laying the groundwork
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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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. 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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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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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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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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CDT and programme can be found at AMR CDT webiste Applications should be submitted by 12th January 2026.
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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.