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Predicting antibiotic resistance de novo

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Fowler Lab
Fowler Lab

Predicting antibiotic resistance de novo

2017 PhD projects advertised

Philip Fowler, 3rd October 201630th October 2017

If you are interested in helping combat antibiotic resistance and want to work on an interdisciplinary computational project with the possibility of strong public engagement (through bashthebug.net), please check out this project

  • Antibiotic resistance in Tuberculosis: Predicting de novo the effect of individual genetic mutations. Supervised by me and Sarah Walker.

These are part of the annual Nuffield Department of Medicine Prize Studentship competition at the University of Oxford and are fully funded four-year studentships open to any nationality. This is how to apply, but feel free to contact me informally with any questions. The deadline is noon, 6th January 2017. Alternatively, if you are part of the Doctoral Training Centre, or have your own funding, and are interested in putting together your own bespoke project, please drop me a line.

Within the Modernising Medical Microbiology group, these studentships are also being advertised.

  • Real-time detection of multidrug resistant tuberculosis and transmission in England. Supervised by Daniel Wilson and David Wylie.
  • Tracking future infection threats using genomic data and electronic health records. Supervised by Daniel Wilson and David Clifton.
  • Antimicrobial resistance gene/vector transmission across human, animal and environmental reservoirs. Supervised by Nicole Stoesser, Nicola De Maio and Derrick Crook.
  • Healthcare big data and genomics for infectious disease threat detection. Supervised by David Clifton, David Eyre and Tim Peto.
  • Prediction of Mycobacterium tuberculosis drug resistance through genome sequencing clinical samples. Supervised by Tim Walker and Tim Peto.

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