For anyone in the bioinformatics/ evolutionary biology world my friend and previous colleague has created this blog with some very nice resources for getting into the area! 🧬
sequence-gazing.co.uk
#bioinformatics #evolutionarybiology
A great day learning about the evolution and ecology goings on at UoM and being able to present the first poster of my PhD! 🦠 #UoM_EEday
It was great to attend the Standing up for Science Workshop today ran by and be able to learn and hear from the great panellists about engagement with the media and policy makers. Definitely recommend for anyone interested in these areas!
🧑🔬 Today we hosted our first Standing up for Science Workshop of the year!
📣 The Whelan lab is hiring a bioinformatics postdoc 📣
Together with @fabricejpierre.bsky.social, we are offering a 1-year bioinformatic PDRA position in comparative genomics of Pseudomonas aeruginosa. To find out more please visit whelanlab.co.uk/contact/. Applications close 3 April 2026!
Last week's seminar featured excellent talks from @fionapoulter.bsky.social on understanding the evolution of epidemic Pseudomonas aeruginosa and Holly Richardson on why heterogeneity matters: predicting antibiotic resistance in cystic fibrosis.
Thanks to @microbesng.bsky.social for the nice snacks!
📣 Whelan lab is hiring 📣
We are looking for an entry level technician to help us with our culturing and DNA sequencing prep of cystic fibrosis lung microbiome samples.
Applications close 20 May 2026.
www.jobs.manchester.ac.uk/Job/JobDetai...
Today is #CFWeek and the Whelan lab are in yellow for #WearYellowDay to raise awareness and funds for the life-limiting genetic condition Cystic Fibrosis (CF). CF is without a cure and dominates thousands of lives everyday.
Explore @cysticfibrosis.org.uk's great resources to learn more 💛🧬
www.jobs.manchester.ac.uk
This postdoctoral research position is part of a Cystic Fibrosis Canada Early Career Investigator Award funded for 3-years led by Dr. Fabrice Jean-Pierre and Dr. Fiona Whelan. The aim of this project is to identify the genetic changes that arise in the Pseudomonas aeruginosa genome following perturbations – such as antibiotic treatment – in an in vitro system. The PDRA will use a large dataset of P. aeruginosa genomes and experimental metadata to predict key mutationsto the organism.
