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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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. This project will use large-scale metagenomic mining to uncover novel phage-host associations and identify phage-encoded enzymes, such as endolysins, with antibacterial activity. By integrating evolutionary
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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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Supervisors: Dr. Michele Crotti Dr. Martyna Michalska Abstract: Biofilm-associated infections account for nearly 80% of human microbial infections and are notoriously resistant to antibiotics and
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, reduce the need for systemic antibiotics, and mitigate the development of AMR in oral pathogens. The approach may also be extended to other biomedical applications involving biofilm-associated infections
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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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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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, 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