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Postdoctoral Fellowship Opportunities to Study Gene Regulatory Dynamics in induced Pluripotent Stem Cells (iPSCs)

Posted by , on 16 November 2020

Closing Date: 15 March 2021

The National Institute of Standards and Technology (N.I.S.T.) is recruiting recent PhD’s. The laboratory is located near Washington, DC. Our research program focuses on characterizing the dynamics of gene regulatory networks in human iPSCs and in developing quantitative models that describe the pluripotency landscape. Possible start dates: 6/2021 – 12/2021

 

We invite interested candidates to apply for Postdoctoral Research Fellowships available through the National Research Council (NRC). These research associateships are two-year appointments with an annual salary of $71,128 (U.S. citizenship is a requirement). These positions are highly competitive and attract outstanding candidates. Research challenges include:

  • applying state-of-the-art live cell imaging and image analysis and deep learning models to follow gene expression dynamics in single cells
  • gene editing (i.e. CRISPR-Cas9) to engineer iPSC lines with multiple fluorescent reporters
  • statistical analysis of time series data to infer gene network interactions
  • modeling pluripotency regulation

Experience with cell culture, quantitative imaging and image analysis, and/or mathematical modeling is a plus.  These postdoc appointments are excellent opportunities for recent Ph.D. graduates who are seeking additional experience prior to accepting a permanent academic or industrial position. Historically, a number of these awardees have also become permanent employees at NIST. Next application deadline is February 1.

 

Begin the application process by sending your CV and cover letter to Michael Halter (michael.halter@nist.gov).

 

Job requirements:

-US citizenship

-Within 5 years of obtaining PhD in bioengineering, cell biology, or physical sciences

-PhD is not required at time of application, but is required before beginning Fellowship

-Ability to work in a multidisciplinary team with biologists, bioengineers, computer scientists, physicists, and statisticians

 




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