Postdoc, University of Texas Southwestern Medical Center

  • Postdoc
  • Quantitative analysis of molecular interactions using single-molecule imaging and mathematical modeling
  • Applications have closed
Lab Website: jaqaman

JaqamanLab Dallas, TX, USA


A postdoctoral training position is available in the laboratory of Dr. Khuloud Jaqaman, in the Department of Biophysics and the Lyda Hill Department of Bioinformatics at UT Southwestern Medical Center.
The successful candidate will conduct research to integrate stochastic mathematical modeling with single-molecule and super-resolution imaging for the quantitative analysis of receptor interactions and signaling.
The Jaqaman lab consists of computational and experimental students and postdoctoral fellows, working together in a vibrant collaborative environment to address questions related to molecular interactions and cell signaling.
Information on the UT Southwestern postdoctoral training program and benefits can be found at
Review of candidates will begin immediately and continue until the position is filled.
UT Southwestern Medical Center is an Affirmative Action/Equal Opportunity Employer. Women, minorities, veterans and individuals with disabilities are encouraged to apply.

Qualifications/Preferred Skillsets:

Candidates must have computational expertise, and must hold (or expect to soon receive) a Ph.D. in biophysics/physics, bioengineering, quantitative/computational biology or related fields. Publications in peer-reviewed journals are expected.

Featured Publications:

FISIK: Framework for the Inference of In Situ Interaction Kinetics from Single-Molecule Imaging Data.
de Oliveira LR, Jaqaman K.
Biophys J. 2019 Sep 17;117(6):1012-1028. doi: 10.1016/j.bpj.2019.07.050.
Heterogeneity in VEGF Receptor-2 Mobility and Organization on the Endothelial Cell Surface Leads to Diverse Models of Activation by VEGF.
da Rocha-Azevedo B, Lee S, Dasgupta A, Vega AR, de Oliveira LR, Kim T, Kittisopikul M, Malik ZA, Jaqaman K.
Cell Rep. 2020 Sep 29;32(13):108187. doi: 10.1016/j.celrep.2020.108187.
Adaptive multiorientation resolution analysis of complex filamentous network images.
Kittisopikul M, Vahabikashi A, Shimi T, Goldman RD, Jaqaman K.
Bioinformatics. 2020 Dec 22;36(20):5093-5103. doi: 10.1093/bioinformatics/btaa627.

Something about the PI: I love hiking and nature!
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