Research position advertised Philip Fowler, 26th January 202126th January 2021 Come and work with me on antimicrobial resistance! Advert here. Broadly the idea is to develop our work using machine learning and molecular simulation to predict whether individual bacterial protein mutations confer resistance to an antibiotic (or not). Any questions please get in touch. For more details please see the advert, especially the lists of essential and desirable characteristics. This post is funded until 30 Sep 2023 through the CompBioMed2 project of which I am a co-investigator and would be ultimately based in Oxford at the John Radcliffe hospital. Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Related antimicrobial resistance clinical microbiology computing grants research
Dylan’s bedaquline paper one of the most read in Microbial Genomics in September! 20th October 202520th October 2025 Received a lovely email from Dr Peter Cotgreave who is the Chief Executive of the… Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Read More
computing Running GROMACS on an AMD GPU using OpenCL 10th July 2015 I first used an Apple Mac when I was eight. Apart from a brief period… Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Read More
antimicrobial resistance New publication: Reconciling the potentially irreconcilable? Genotypic and phenotypic amoxicillin-clavulanate resistance in Escherichia coli. 30th March 202022nd August 2020 Clinical microbiology often assumes a sample is resistant or susceptible. Making such a classification relies… Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Read More