Body:
https://qveu.github.io/QVEU/info/
Location:
33 North Drive
Bethesda, MD 20892
United StatesJob Posted Date:
December 15, 2023
Opportunities:
Full-time Positions
Postdoc Positions
Population:
Life Sciences
The successful candidate will develop an independent project under the supervision of the Unit Chief, and be responsible for designing and conducting research, reading literature, writing manuscripts, and developing skills to launch their career. The QVEU embraces diversity among our team members, and provides a supportive, team-oriented, and equitable environment for all of our scientists to thrive in. You can learn more about the lab and our philosophy here: https://qveu.github.io/QVEU/nih/
The fellowship position is funded for one year, with the possibility of renewal up to 5 years (depending on prior experience). The salary at NIH is highly competitive and commensurate with experience.
Job Requirements:
Applicants should have a Ph.D., M.D. or equivalent, and strong research experience in any of the following:
- Virology, especially RNA viruses
- Animal models, especially mice or mosquitoes
- Evolutionary biology, experiment or theory
- Phylogenetics
- Cell biology, especially high-throughput microscopy or live-cell imaging
- RNA/DNA sequencing technologies
- Bioinformatics, and computational biology
How to Apply:
To apply, please submit your CV, a cover letter describing your interests and experience, and a list of three references to [email protected]. Informal inquiries and informational interviews are welcome.
Location:
National
Organization Details
Quantitative Virology and Evolution Unit
The Quantitative Virology and Evolution Unit is led by Patrick Dolan, Ph.D., Earl Stadtman Tenure-Track Investigator and Unit Chief in the Laboratory of Viral Diseases, NIH-NIAID, in Bethesda, MD.
Our work is focused on the use of quantitative experimental and computational approaches to understand the roles of heterogeneity, history, and constraint on viral emergence and evolution. In one focus area, we use single-cell sequencing approaches to characterize the responses to infection in cell culture and animal models. We hope these studies will help us understand within-host evolutionary dynamics, and the determinants of host tropism and pathogenesis. In another focus area, we use phylogenetic tools to reconstruct the evolution of emerging viruses. We then experimentally interrogate these ancestral evolutionary paths with mutational screens to understand how viruses emerge.
Our work is focused on the use of quantitative experimental and computational approaches to understand the roles of heterogeneity, history, and constraint on viral emergence and evolution. In one focus area, we use single-cell sequencing approaches to characterize the responses to infection in cell culture and animal models. We hope these studies will help us understand within-host evolutionary dynamics, and the determinants of host tropism and pathogenesis. In another focus area, we use phylogenetic tools to reconstruct the evolution of emerging viruses. We then experimentally interrogate these ancestral evolutionary paths with mutational screens to understand how viruses emerge.