_fowlerlab_

Predicting antimicrobial resistance de novo

[ModMedMicro @ModMedMicro]

Three posts all closing next week!

Senior Biostatistical Researcher https://t.co/JIk3ZwSYyd
Senior Bioinformatic Engineer https://t.co/LgpA4gCR5l
both Grade 8 or 7, closing noon Wed 2 Jul

Computational Mycobacteriologist
Grade 7, closing noon Fri 4 Jul https://t.co/AAg2jGHOUu

[ModMedMicro @ModMedMicro]

Just like buses, here is a third role we are advertising for!

Come and help @philipwfowler use the large TB datasets we hold to help the OxCoD4TB consortium develop new therapeutics for TB

Grade 7, funding until 28 Feb 28, deadline noon Fri 4 July

https://t.co/AAg2jGHOUu

[bioRxiv Microbiology @biorxiv_micrbio]

Predicting rifampicin resistance in M. tuberculosis using machine learning informed by protein structural and chemical features. https://t.co/dJavthGkte #biorxiv_micrbio

[_fowlerlab_ @_fowlerlab_]

Dylan Adlard presenting his work at @EsMyco 2024 in Bruges!

[_fowlerlab_ @_fowlerlab_]

Dylan Dissanayake presenting his poster at ⁦@EsMyco⁩ 2024 #ESM2024

[ModMedMicro @ModMedMicro]

New paper by @ViktoriaBrunne1 out now in @MicrobioSoc #MGen

Compensatory mutations are associated with increased in vitro growth in resistant clinical samples of Mycobacterium tuberculosis

Using the @crypticproject dataset in a new and exciting way!

@NDMOxford @_fowlerlab_

[ModMedMicro @ModMedMicro]

Are you an experienced bioinformatician?

Are you interested in AMR, infectious disease and diagnostics?

Come and work with us!

Senior Bioinformatician post (Grade 8)
Closing date: noon 3 Jan 2024
https://t.co/L8ztvGHECE

[_fowlerlab_ @_fowlerlab_]

🥳

[Philip Fowler @philipwfowler]

Great work by @ViktoriaBrunne1 — preprint out before the end of her first year @Ox_DTP DPhil in @_fowlerlab_ / @ModMedMicro

She mined the @crypticproject TB dataset to identify mutations compensating for RIF resistance and showed their effect on growth in a 96-well plate.

[_fowlerlab_ @_fowlerlab_]

New publication: reply to letters about CRyPTIC ECOFF/ECVs https://t.co/tk2maAyu2Y

[_fowlerlab_ @_fowlerlab_]

New publication: detecting minor populations important for predicting fluoroquinolone resistance https://t.co/86xsvWx6Hp

[_fowlerlab_ @_fowlerlab_]

New publication: determining novel mechanisms of bedaquiline resistance https://t.co/g3ohyjSc0O

[Philip Fowler @philipwfowler]

It is #WorldTBDay.

Many people I speak to are surprised that tuberculosis kills more people every year than malaria and HIV/AIDS *combined*.

Think TB needs a better PR agency…

[Kavli Institute for Nanoscience Discovery, Oxford @KavliOxford]

Peer through the microscope lens and make a difference! The Kapanidis Gene Machines Lab is launching the Infection Inspection (@InfectInspect) project on Tuesday to help detect antibiotic resistance. Get involved and learn more at https://t.co/PxkHJQ1TS5 #antimicrobialresearch

[ModMedMicro @ModMedMicro]

We are recruiting for 2 new research software posts to join our dynamic and friendly team, to contribute to further development of the Global Pathogen Analysis Service, links here:
Job Details RSE G8
https://t.co/A4jpWAW7qn

SRSE G9
https://t.co/IepT0z82op

[_fowlerlab_ @_fowlerlab_]

PhD applications for the Computational Discovery programme close on Wed 1 March

Taking the structure of proteins into account: predicting if infections are resistant to β-lactam antibiotics using graph-based convolutional neural networks 

https://t.co/0ZUfR4SqSK

[_fowlerlab_ @_fowlerlab_]

Come and study for your PhD with us!

Applications to the DPhil Computational Discovery programme which has been developed with @IBMResearch are now open.

https://t.co/Y3qxb49FUH

[_fowlerlab_ @_fowlerlab_]

Congratulations Dr @AliceBrankin, well done on successfully defending your DPhil thesis!