1,000+ Opportunities
Find the right grant
Search federal, foundation, and corporate grants with AI — or browse by agency, topic, and state.
NLM Institutional Grants for Research Training in Biomedical Informatics, Data Science, and AI is sponsored by National Library of Medicine (NLM) / National Institutes of Health (NIH).
This program supports institutional research training programs (predoctoral, postdoctoral, or both) in artificial intelligence (AI) for precision nutrition (AIPrN) that integrates precision nutrition, AI/machine learning (ML), systems biology, 'Big Data', and computational analytics. It aims to build a diverse workforce capable of applying advanced competencies in AI to complex biomedical challenges in nutrition science.
Get alerted about grants like this
Save a search for “National Library of Medicine (NLM) / National Institutes of Health (NIH)” or related topics and get emailed when new opportunities appear.
Search similar grants →Extracted from the official opportunity page/RFP to help you evaluate fit faster.
Opportunity Listing - NLM Institutional Grants for Research Training in Biomedical Informatics, Data Science, and AI NLM Institutional Grants for Research Training in Biomedical Informatics, Data Science, and AI Agency: National Institutes of Health Assistance Listings: 93. 879 -- Medical Library Assistance Last Updated: February 18, 2026 View version history on Grants.
gov The National Library of Medicine (NLM) invites applications for innovative predoctoral and postdoctoral training programs that prepare the next generation of researchers in biomedical informatics, data science, and artificial intelligence/machine learning (AI/ML).
NLM emphasizes cutting-edge, forward-looking training experiences that equip trainees to address complex health and biomedical challenges through advanced computational approaches. Applications may propose the creation of new training programs or the renewal of existing NLM-supported programs.
These programs are designed to meet the growing demand for researchers with deep expertise in biomedical computing, data science, and AI/ML, with clear relevance to health and biomedical research. Recognizing the inherently interdisciplinary nature of these fields, NLM seeks programs that integrate methods and perspectives across disciplines to advance biomedical informatics, data science, and AI/ML.
Private institutions of higher education Public and state institutions of higher education Nonprofits non-higher education with 501(c)(3) Other Native American tribal organizations Nonprofits non-higher education without 501(c)(3) Federally recognized Native American tribal governments Grantor contact information No documents are currently available.
Link to additional information Estimated Application Due Date : Estimated Due Date Description : Estimated Project Start Date : Funding opportunity number : Cost sharing or matching requirement : Funding instrument type : Opportunity Category Explanation : Category of Funding Activity :
According to the current listing, eligibility includes: Institutions (for-profit, non-profit, public sector, R&D and Higher Education) that can recruit individuals for predoctoral and postdoctoral research training. Emphasis on applications from or collaborations with faculty and/or trainees from minority-serving institutions. Confirm the full requirements in the official notice before applying.
NLM Institutional Grants for Research Training in Biomedical Informatics, Data Science, and AI is funded by National Library of Medicine (NLM) / National Institutes of Health (NIH). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
Past winners and funding trends for this program
PAR-26-042 funds NLM-priority clinical informatics R01 grants up to $250,000 in direct costs per year through March 6, 2029, with standard NIH cycles on October 5, February 5, and June 5. The notice explicitly defines non-responsive applications: incremental tool improvements, projects primarily focused on social determinants of health, and projects primarily focused on ethical/legal/social issues. With NIH SBIR/STTR just reopened and the OMB Uniform Grants Regulation rewrite reshaping discretionary awards, the NLM clinical informatics line is one of the few stable, well-defined biomedical funding streams left at the agency. Here is how to read it.
Read articleNIH's June 1 omnibus reset added Direct-to-Phase II to the STTR program for the first time. The change compresses university spinouts' funding timeline from three years to fifteen months, but the 30% research-institution subaward, feasibility-evidence rules, and IP licensing mechanics are not yet sorted at most universities.
Read articleNIH committed $402 million across 601 multiyear-funded grants in the first eight months of FY 2026 — more than four times the pace of two years ago. The mechanism front-loads obligations into a single fiscal year, leaving less budget for new project starts and squeezing FY 2026 success rates. What researchers and institutions should be doing now.
Read article