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
Viki Brunner wins poster prize 23rd November 202223rd November 2022 The whole group attended the first INEOS Oxford Institute meeting on Multidisciplinary Approaches to AMR… 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 paper: a deep learning model that reads MICs from images of 96 well plates 26th May 20251st July 2025 Our paper describing how a convolutional neural network model can determine the minimum inhibitory concentrations… 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