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Job ID: 128454

Postdoctoral Research Associate
University of North Texas


Date Posted Sep. 3, 2019
Title Postdoctoral Research Associate
University University of North Texas
Denton, TX, United States
Department
Application Deadline Open until filled
Position Start Date Available immediately
 
 
  • Post-Doc
  • Biology - General
 
 

The laboratory of Dr. Ana Alonso in the BioDiscovery Institute at the University of North Texas is seeking for a highly motivated Post-doctoral Research Associate. This postdoc will study the function of candidate genes involved in lipid storage and stability in pennycress seeds, a promising alternative source of aviation fuel. More specifically, the postdoc will perform 13C-labeling in pennycress seeds, monitor the temporal labeling of central metabolism and lipids by LC-MS/MS, and build a mathematical model of the dynamic labeling. This is part of a new interdisciplinary project funded by the US Department of Energy for 3 years.

This work is part of a bigger project involving three labs at two different institutions. Therefore, good social skills and the ability to work within a team work are highly desired.
In the meantime, if you have questions or want further information, feel free to contact me (Anapaula.Alonso@unt.edu).

The University of North Texas System and its component institutions are committed to equal opportunity and comply with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University of North Texas System and its component institutions do not discriminate on the basis of race, color, sex, sexual orientation, gender identity, gender expression, religion, national origin, age, disability, genetic information, or veteran status in its application and admission processes, educational programs and activities, and employment practices. Education Required: Doctorate in plant science, biochemistry, biology, or related field.

Prior Experience Required: Prior experience with at least two of the following approaches, 13C-labeling, lipidomics, High-Performance Liquid Chromatography (HPLC), Liquid Chromatography tandem Mass Spectrometry (LC-MS/MS), and mathematical modeling is required.


 
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