Funding Opportunity: AIMRC seeks applications from potential research project leaders
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Funding Opportunity: AIMRC seeks applications from potential research project leaders



Funding Opportunity: AIMRC seeks applications from potential research project leaders


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The Arkansas Integrative Metabolic Research Center is pleased to announce a call for proposals to provide financial support to emerging research project leaders.

The AIMRC intends to provide $150,000 per year in total direct costs for up to three years to support basic and translational research projects in cellular and tissue metabolism using the AIMRC Bioenergetics Core, Imaging and Spectroscopy Core, and/or Data Science Core, and to enable the acquisition of preliminary data for a federal R01 or equivalent grant application.

The call for applications is a two-stage process. Full professors are invited to submit pre-application materials by October 1, and up to three candidates will be selected to submit full proposals by November 1. Funding will be available in Phase I, and selected candidates will also be part of the AIMRC Phase II renewal to be submitted in May 2025.

In addition to receiving significant funding, AIMRC Research Project Leaders (RPLs) participate in a mentored faculty development program and receive significant proposal development support. RPLs must submit a competitive R01 application based on their funded research project during their second year with AIMRC.

For more information about AIMRC, its mission and its research centers, please visit aimrc.uark.edu.

For more information about this specific funding opportunity, please contact AIMRC Executive Director, Kimberley Fuller.


About AIRMC:The Arkansas Integrative Metabolic Research Center (AIMRC) was established in April 2021 with NIGMS Phase I COBRE funding (P20GM139768). AIMRC is a research center located at the University of Arkansas that focuses on understanding the role of cellular and tissue metabolism in disease, development, and repair through research involving advanced imaging, bioenergetics, and data science.