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Position: Research Fellow in Computational and Molecular Virology
Institution: University of Leeds
Location: Leeds, West Yorkshire, United Kingdom
Duties: This project will involve a combination of in silico, evolutionary, and structural approaches to determine the functional role of critical residues and capsid reorganisation in the cleavage event. Specifically, the successful candidate will generate a comprehensive EV sequence library and use existing and develop novel bioinformatic techniques to identify structural sites of pan-EV conservation. These findings will inform the generation of mutant EVs to interrogate the evolutionary, biochemical and structural basis of the viral maturation process
Requirements: You should have a PhD (or close to completion) in computational biology, biochemistry, molecular biology or a closely allied discipline. You should also have experience with: assembly and analysis of sequence libraries, mammalian cell culture, and interpretation of structural data, as well as expertise in python, C or equivalent, and in protein purification and characterisation
   
Text: Research Fellow in Computational and Molecular Virology Are you an ambitious researcher looking for your next challenge? Do you have a background in computational biology? Do you want to further your career in one of the UKs leading research intensive Universities? Enteroviruses cause a range of diseases and emerging enteroviruses are of global concern. The applicant will be joining our NIH-funded research project to investigate the molecular mechanism of enterovirus (EV) VP0 cleavage. We will apply a combination of bioinformatic, structural and evolutionary approaches to clarify the molecular mechanism of EV maturation. This project will involve a combination of in silico , evolutionary, and structural approaches to determine the functional role of critical residues and capsid reorganisation in the cleavage event. Specifically, the successful candidate will generate a comprehensive EV sequence library and use existing and develop novel bioinformatic techniques to identify structural sites of pan-EV conservation. These findings will inform the generation of mutant EVs to interrogate the evolutionary, biochemical and structural basis of the viral maturation process. You should have a PhD (or close to completion) in computational biology, biochemistry, molecular biology or a closely allied discipline. You should also have experience with: assembly and analysis of sequence libraries, mammalian cell culture, and interpretation of structural data, as well as expertise in python, C or equivalent, and in protein purification and characterisation. The University of Leeds and the Faculty of Biological Sciences are committed to providing equal opportunities for all and offer a range of family friendly policies. The University is a charter member of Athena SWAN (the national body that promotes gender equality in higher education), and the Faculty of Biological Sciences was awarded a Silver award in 2020. We are proud to be an inclusive Faculty that values all staff, and are happy to consider job share applications and requests for flexible working arrangements from our employees. Our Athena SWAN webpage provides more information. To explore the post further or for any queries you may have, please contact: Professor Nicola Stonehouse, Professor in Molecular Virology Email: n.j.stonehouse@leeds.ac.uk Professor David Rowlands, Emeritus Professor of Molecular Virology Email: d.j.rowlands@leeds.ac.uk Natalie Kingston, Research Fellow in Virology Email: n.kingston@leeds.ac.uk Location: Leeds - Main Campus Faculty/Service: Faculty of Biological Sciences School/Institute: School of Molecular & Cellular Biology Category: Research Grade: Grade 7 Salary: £34,304 to £40,927 p.a. Due to funding limitations it is unlikely an appointment will be made above £37,467. Working Time: 100% - we will consider flexible working arrangements Post Type: Full Time Contract Type: Fixed Term (until 28th February 2025 due to external funding. Possibility of further extension.) Release Date: Thursday 09 June 2022 Closing Date: Thursday 07 July 2022 Reference: FBSMB1225 Downloads: Candidate Brief
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