Skip to content
Fowler Lab
Fowler Lab

Predicting antibiotic resistance de novo

  • News
  • Research
    • Overview
    • Manifesto
    • Software
    • Reproducibility
    • Publications
  • Members
  • Teaching
  • Contact
    • PhDs
  • Wiki
Fowler Lab
Fowler Lab

Predicting antibiotic resistance de novo

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:

  • Click to share on X (Opens in new window) X
  • Click to share on Bluesky (Opens in new window) Bluesky
  • Click to email a link to a friend (Opens in new window) Email
  • Click to share on LinkedIn (Opens in new window) LinkedIn
  • Click to share on Mastodon (Opens in new window) Mastodon

Related

antimicrobial resistance clinical microbiology computing grants research

Post navigation

Previous post
Next post

Related Posts

SARS-CoV-2 pipeline live on EIT Pathogena

28th January 202528th January 2025

Back in the SARS-CoV-2 pandemic we worked closely with ORACLE Corp to build and deploy…

Share this:

  • Click to share on X (Opens in new window) X
  • Click to share on Bluesky (Opens in new window) Bluesky
  • Click to email a link to a friend (Opens in new window) Email
  • Click to share on LinkedIn (Opens in new window) LinkedIn
  • Click to share on Mastodon (Opens in new window) Mastodon
Read More
antimicrobial resistance

New software: pygsi

31st August 2018

Whenever a paper involving sequencing the genome of bacteria (or other species for that matter),…

Share this:

  • Click to share on X (Opens in new window) X
  • Click to share on Bluesky (Opens in new window) Bluesky
  • Click to email a link to a friend (Opens in new window) Email
  • Click to share on LinkedIn (Opens in new window) LinkedIn
  • Click to share on Mastodon (Opens in new window) Mastodon
Read More
antimicrobial resistance

Can medical microbiology become a big data science? Lessons from CRyPTIC

11th March 202511th March 2025

The CRyPTIC project ran from 2017 to around 2022 and in that time collected over…

Share this:

  • Click to share on X (Opens in new window) X
  • Click to share on Bluesky (Opens in new window) Bluesky
  • Click to email a link to a friend (Opens in new window) Email
  • Click to share on LinkedIn (Opens in new window) LinkedIn
  • Click to share on Mastodon (Opens in new window) Mastodon
Read More

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Privacy & Cookies: This site uses cookies. By continuing to use this website, you agree to their use.
To find out more, including how to control cookies, see here: Cookie Policy
    ©2025 Fowler Lab | WordPress Theme by SuperbThemes