Applications are invited for a post-doctoral research associate to work on developing and applying computational and statistical approaches to understanding the pathophysiology of chronic P. aeruginosa infection in Cystic Fibrosis.
The project will seek to leverage multidimensional genomic, transcriptional and phenotypic datasets to define the regulatory networks governing the behaviour and pathogenicity of P. aeruginosa, to understand how changes in within-host subclone population can influence clinical outcome in patients. To do so, we seek to combine approaches based on statistical genetics and machine learning to obtain new insights at a systems level.
The successful applicant will be primarily based at the EMBL-European Bioinformatics Institute, Hinxton Campus, and the Molecular Immunity Unit, Department of Medicine, University of Cambridge, (located in the MRC Laboratory of Molecular Biology) but closely collaborating with Professor Julian Parkhill (Pathogen Genomics; WT Sanger Institute) and Dr John Winn (Machine Learning and Perception, Microsoft Research).
Strong computational and statistical skills are essential, as is programming expertise in R, python and/or C++. Expertise in statistical- and/or bacterial genetics is beneficial.
Fixed-term: The funds for this post are available for 2 years in the first instance.
To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.
Please ensure that you upload a covering letter and CV in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.
Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.
The closing date for applications is the 20th May 2017 with interviews yet to be confirmed by the department.
Please quote reference RC12024 on your application and in any correspondence about this vacancy.
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