A Research Associate (Post-Doc) position is available in the laboratory of Dr. Nina Wale in the Department of Microbiology and Molecular Genetics at Michigan State University. The postdoctoral researcher will build on the PI’s previous work (Wale et al. PNAS 2019; doi:10.1073/pnas.1908147116), which used a novel modeling approach to quantify the contribution of pathogen and host immune activity to disease and revealed new immune defense strategies against malaria parasites. Specifically, the researcher will exploit rich datasets of high-resolution time-series data to extend existing models so as to increase their predictive power. The researcher will then use these models to design new experiments and analyze the resulting data with the goal of revealing the rules that govern the dynamic deployment of the immune system and, ultimately, infection dynamics.
We seek a highly-motivated creative scientist driven to discover the principles that underlie the dynamics of infection and immunity. Applicants should be excited at the prospect of working in an interdisciplinary team of experimental and computational biologists, have exceptional written and oral communication skills, and have a PhD in Systems Biology, Applied Mathematics, Statistics, Computer Science, Computational Ecology & Evolutionary Biology, or a related discipline.
This is a full-time, 12-month fixed-term position with reappointment contingent on satisfactory performance and available funding.
Equal Employment Opportunity Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status.
Doctorate -Computational Ecology & Evolutionary Bio
Applicants should have a Ph.D., D.V.M., or M.D., or equivalent advanced degree(s).
Required Application Materials
Please submit a CV and the contact information for 3 references.
The university is requiring all MSU students, faculty and staff to be vaccinated against COVID-19 with limited exceptions. Learn more at: https://msu.edu/together-we-will/
Review of Applications Begins On
Remote Work Statement
MSU strives to provide a flexible work environment and this position has been designated as remote-friendly. Remote-friendly means some or all of the duties can be performed remotely as mutually agreed upon.
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