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University of Birmingham

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PhD Studentship in Machine Learning, Microbial Genomics and Drug Resistance in M. tuberculosis University of Birmingham in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Funding is available for UK students; the funding amount and detailed financial coverage are not specified.

Deadline

Nov 23, 2026

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Country

United Kingdom

University

University of Birmingham

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Keywords

Computer Science
Biology
Infectious Disease
Antibiotic Resistance
Medical Science
Multidrug Resistance
Genome-wide Association
Statistics
Bacterial Genomic
Bioinformatic
ML

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About this position

The University of Birmingham is offering a full-time PhD studentship in the School of Biosciences investigating drug resistance in Mycobacterium tuberculosis using national genomic surveillance data and advanced machine learning.

This joint project with the UK Health Security Agency will analyse a national collection of drug-susceptible and drug-resistant M. tuberculosis genomes from England, together with enhanced surveillance records and epidemiological data. The research will characterise resistance across bacterial lineages, investigate genetic factors associated with resistance emergence, pathogenicity and heteroresistance, and address limitations in existing resistance catalogues.

The student will apply genome-wide association methods and explore genome and protein language models to improve prediction of resistance in rare and novel genotypes. The project provides training in microbial genomics, bioinformatics, applied machine learning, infectious disease biology and genomic surveillance.

Supervisors are Professor Nicholas Loman, Dr Esther Robinson and Dr Bede Constantinides. The studentship is available to UK students, with funding details not specified. The application deadline is 23 November 2026.

Funding details

Funding is available for UK students; the funding amount and detailed financial coverage are not specified.

How to apply

Review the full advert and submit an application through the jobs.ac.uk application page before 23 November 2026.

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