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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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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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Student Development The successful applicant will gain expertise in: Biophysical imaging (AFM, microscopy) Microbiology and molecular biology RNA sequencing and data analysis Interdisciplinary collaboration
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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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will deliver a novel diagnostic platform capable of detecting respiratory infections and resistance markers at the point of care with unprecedented sensitivity and speed. This technology could
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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.