Research Fellow in Mathematical Modelling: Join a European consortium within the EPICVIR project, focusing on Emerging Porcine Influenza and Coronaviruses. As a Research Fellow in Mathematical Modelling of Infection at the School of Mathematics, Leeds, you will contribute to developing an integrated mathematical model for swine influenza and coronaviruses, collaborating with international partners and utilizing stochastic and deterministic approaches.
Details:
Designation | Research Fellow |
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Research Area | Mathematical Modelling of Infection |
Location | Leeds – Main Campus |
Eligibility/Qualification | Ph.D. (or thesis submitted) in Mathematics, Statistics, Physics, or related discipline. Experience in developing and applying mathematical models in Systems Biology. |
Grade/Salary | Grade 7, £37,099 to £44,263 p.a. (Appointment not higher than £38,205 p.a. due to funding restrictions) |
Working Time | 37.5 hours per week |
Post Type | Full Time |
Contract Type | Fixed Term (12 months) – to complete specific time-limited work |
Release Date | Tuesday, 05 December 2023 |
Closing Date | Thursday, 01 February 2024 |
Job Description:
- Contribute to the development of an integrated mathematical model of viral replication, transmission, pathogenesis, and immune control for swine influenza and coronaviruses.
- Collaborate with international partners, including mathematical modellers, statisticians, immunologists, and virologists.
- Use stochastic and deterministic approaches to develop computational tools for parametrising mathematical models with experimental data.
- Work in an inter-disciplinary environment in the Mathematical Immunology group at the School of Mathematics, Leeds.
How to Apply:
For further details or queries, contact Dr Martín López-García, Associate Professor, Tel: +44 (0)113 343 8951 or email: M.Lopezgarcia@leeds.ac.uk.
To apply, visit the official application portal.
Last Date for Apply:
Thursday, 01 February 2024
Disclaimer: This job post is sourced from a reliable reference. Applicants are advised to verify details from the official site for further information.