10 software-defined-network-postdoc Postdoctoral research jobs at University of Kansas Medical Center
-
cellular and molecular biology experiments pertaining to define the molecular mechanisms of mucin trafficking in the airway epithelium. Contribute to the preparation of scientific manuscripts and grant
-
datasets. Expectations: The Postdoc will be expected to complete research projects under the guidance of the faculty mentor, record and interpret the results of their experiments in an (electronic
-
Expectations: The Postdoc will be expected to complete research projects under the guidance of the faculty mentor, record and interpret the results of quantitative analyses, prepare publication-quality
-
experimental data and interpret results for use in publications, grant applications, and determining the next steps in the research. Perform cellular and molecular biology experiments pertaining to define
-
activities. Participate in an interdisciplinary course with other LEND trainees. Expectations: The Postdoc will be expected to complete research projects under the guidance of the faculty mentor, record and
-
more junior members on the team. Provide guidance to graduate students under the direction of Dr. Qiu. Postdoc Expectations: The Postdoc will be expected to complete research projects under the guidance
-
compliance with IRB and animal protocols. Expectations: The Postdoc will be expected to complete research projects under the guidance of the faculty mentor, record and interpret the results
-
proposals, including applicable fellowship award applications and NIH R01 applications. Expectations: The Postdoc will be expected to complete research projects under the guidance of the faculty mentor
-
contribute to a collaborative and dynamic research environment. Expectations: The Postdoc will be expected to complete research projects under the guidance of the faculty mentor, record and interpret
-
-associated sEVs. Define EV-associated miRNA signatures that have the greatest stability and reproducibility as analytes to differentiate early-stage ovarian cancer cases from benign disease and healthy