Funding Opportunities

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Fundamental of Quantitative Proteomics Traveling Workshop (Attendees)
April 1st, 2025

The Fundamentals of Quantitative Proteomics Traveling Workshop is a one-day workshop at your home institution providing background on quantitative proteomics, training on experimental design, and information on how to use data in support of funding and publications. Attendees will receive lecture-style presentations, and breakout sessions are provided on bioinformatics and experimental design. The Fundamental of Quantitative Proteomics Traveling Workshop closely matches the AR-based workshop. In the traveling workshop, two National Resource staff to their institution to provide a 1-day compressed version of the 2-day workshop.


IDeA National Resource for Quantitative Proteomics Internship for Graduate/Post-Doctoral Researchers-2025
April 15th, 2025

The IDeA National Resource for Quantitative Proteomics is seeking current graduate students or post-doctoral researchers to apply for a short-term internship, which will provide exposure to daily operations and best business practices in a core facility. Applicants should have current, ongoing research that would benefit from an in-depth quantitative proteomics analysis and have interest in exploring a career in a proteomics core facility. Awardees will receive a voucher for one quantitative proteomics analysis that will be completed as part of the on-site internship.


IDeA National Resource for Quantitative Proteomics Nationwide Voucher Program- 2024.06.15
June 15th, 2025

The IDeA National Resource for Quantitative Proteomics administers a reviewed, merit-based Voucher Program for NIH-funded investigators and other academic investigators from laboratories across the United States to access the National Resource for fully subsidized services. The goal of the voucher program is to provide pilot scale data to investigators that will create new hypotheses, support publications, and support on-going research studies within the mission of NIGMS. This voucher program is designed to support a 10-plex Tandem Mass Tag (TMT) or a 40-sample data independent acquisition (DIA) discovery proteomics experiment.