DPhil in Computational Discovery Philip Fowler, 23rd January 202323rd January 2023 I have a project advertised as part of the DPhil in Computational Discovery programme at the University of Oxford to start in October 2023. This programme is jointly run with IBM and benefits from their applied research in machine learning and other shared areas of interest. The project (Project 6) aims to develop graph-based convolutional machine learning methods able to integrate protein structure, genetic, chemical and evolutional information and thence predict if specific alleles confer resistance to one (or more) antibiotics. If that sounds interesting and you’d like to study it for your DPhil (i.e. PhD) with me, please apply to the programme directly as all applications are handled centrally. Applications close on 1 March 2023. Share this:TwitterBlueskyEmailLinkedInMastodon Related group
antimicrobial resistance New preprint: compensatory mutations are associated with increased growth in resistant samples of M. tuberculosis. 22nd June 20238th December 2023 In this preprint, Viki Brunner shows how, using the large CRyPTIC dataset, she can recapitulate… Share this:TwitterBlueskyEmailLinkedInMastodon Read More
Philip Fowler appointed as Associate Professor 13th January 202313th January 2023 More good news for the group! Philip was awarded an Associate Professorship by the Nuffield… Share this:TwitterBlueskyEmailLinkedInMastodon Read More
group Congratulations Dr Brankin! 21st January 202321st January 2023 Alice successfully defended her thesis “Predicting Fluoroquinolone Resistance in Mycobacterium tuberculosis” yesterday. Her examiners were Professor… Share this:TwitterBlueskyEmailLinkedInMastodon Read More