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Job Offer: PhD Studentship: Genomic Epidemiology of SARS-CoV-2 in East Anglia:

Job description:

Qualification Type: PhD
Job location: Norwich
Funding for: UK Students, EU Students, International Students
Funding amount: See advert text
Hours: Full Time

Published in: 25th November 2021
Closing date: 17th January 2022
Listing reference: PAGE_Q22MMB

 

The UK is a world leader in SARS-CoV-2 genome sequencing thanks to the COVID-19 Genomics UK Consortium (COG-UK). The Quadram Institute, in particular the Page group, have been at the forefront of sequencing SARS-CoV-2 genomes with over 60,000 sequenced in 18 months. Through our efforts to assist with the pandemic response, Norfolk is the most densely sequenced region of England. This PhD project focuses on looking more deeply at how the pandemic unfolded within on region to gain a deep knowledge of the genomic epidemiology and will help to inform future management of infectious diseases. Using genomics, we want to find answers questions like: how did the Alpha variant spread within the region, what happened during hospital outbreaks, did different aged people spread the virus in different ways, were samples from closed environments like prisons linked to the local community, did trends from random community surveillance match up with trends seen in hospitals? This builds upon existing research which looked at the early days of the pandemic (https://dx.doi.org/10.1099%2Fmgen.0.000589). You will lgain SARS-CoV-2 genomics, bioinformatics, genomic epidemiology, phylogenetics, how to work with Big Data, amplicon sequencing, as well as how to undertake large scale analyses on the Quadram Cloud which is run by the Page Group.
You will join a large group of bioinformaticians and molecular biologists who are expert in the field of SARS-CoV-2 and microbial bioinformatics, who have built many bioinformatics methods that are in widespread use around the world. Our podcast (https://soundcloud.com/microbinfie) is a major source of information for the latest in microbial bioinformatics.
The Microbes, Microbiomes and Bioinformatics (MMB) Doctoral Training Partnership (DTP) is open to UK and international candidates with an undergraduate degree significant to the scope of the programme for entry in October 2022 and offers postgraduates the opportunity to undertake a 4-year PhD research project funded by the UKRI Medical Research Council to advance the training of students in microbiology, with an emphasis on microbial bioinformatics.
This project has been shortlisted for funding by the MMB DTP programme. Interviews for shortlisted candidates will take place on Tuesday 15 or Wednesday 16 February 2022.
This MMB DTP is committed to equality, diversity, widening participation and inclusion in all areas of the programme. We encourage enquiries and applications from all sections of the community, regardless of gender, ethnicity, discapability, age, sexual orientation, and transgender status. We value an aptitude for computer-located analysis, curiosity, and independence of thought, plus a commitment to work across the boundaries between the laboratory and bioinformatics to deliver high-impact research. We welcome candidates from low- and middle-earnings countries.
For information on eligibility and how to apply: https://www.uea.ac.uk/research/research-with-us/postgraduate-research/lates t-phds-and-research-studentships/partnerships-in-doctoral-training
Primary manager : Dr Andrew Page (QIB)
Start date: October 2022
For more information on this project, please visit http://www.uea.ac.uk
This project is awarded with a 4-year MMB DTP PhD studentship, which includes support for a maintenance stipend, provided over four years, full tuition fees and research and training costs.
Studentship funding will not normally cover costs connected with visa or health surcharges, or additional costs connected with entry to, and living in the UK.

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Salary: Unspecified
Degree: Unspecified
Experience (year): Unspecified
Job Location: Norwich, Norfolk Other
Address: Norfolk
Company Type Employer
Post Date: 11/25/2021 / Viewed 1 times
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