Federal Limited Opportunities

National Institute of General Medical Sciences Predoctoral Basic Biomedical Sciences Research Training Program (T32)

National Institute of General Medical Sciences (NIGMS)

The goal of the National Institute of General Medical Sciences (NIGMS) Ruth L. Kirschstein National Research Service Award (NRSA) Predoctoral Basic Biomedical Sciences Research Training Program is to develop a diverse pool of well-trained scientists available to address the nation’s biomedical research agenda. Specifically, this funding announcement provides support to eligible, domestic organizations to develop and implement effective, evidence-informed approaches to biomedical graduate training and mentoring that will keep pace with the rapid evolution of the biomedical research enterprise. NIGMS expects that the proposed research training programs will incorporate didactic, research, and career development elements to prepare trainees for careers that will have a significant impact on the health-related research needs of the nation. 

LIMIT: Applicant organizations may submit more than one application, provided that each application is distinct with respect to the scientific area of research training. Through this funding announcement, NIGMS will accept predoctoral training grant applications to enhance graduate research training in 12 broad areas of basic biomedical sciences. NIGMS will support only one training program in a basic biomedical science research training area per applicant organization (normally identified by having a Unique Entity Identifier (UEI) and a unique NIH eRA Institutional Profile File (IPF) number).

To apply for this opportunity, email the following to limitedfunding@dartmouth.edu

Overview/abstract of proposal (one page maximum)
Total request amount
Leadership Biosketches 

Applicants must identify one of the eleven(11) areas listed below under which the proposal will be submitted.

1 BBS: Behavioral-Biomedical Sciences Interface * No Longer Available*
2 BS: Biostatistics
3 BT: Biotechnology
4 CBM: Cellular, Biochemical, and Molecular Sciences
5 CBI: Chemistry-Biology Interface
6 CBB: Computational Biology, Bioinformatics, and Biomedical Data Science
7 GEN: Genetics
8 MB: Molecular Biophysics
9 MM: Molecular Medicine
10 PS: Pharmacological Sciences
11 SIB: Systems and Integrative Biology

Internal Deadline: April 25, 2026 

Sponsor Deadline: September 25, 2026

NSF 24-573 EPSCoR Research Infrastructure Improvement Program: Focused EPSCoR Collaborations Program

Program Description

The primary driver for FEC investments is the need to build STEM-driven, inter-jurisdictional research collaborations with the potential to be nationally and internationally competitive. The Project Description should include a strong rationale for the collaboration and demonstrate that the partnership is designed to facilitate discovery and innovation in the focus area (detailed in the published biennial Dear Colleague Letter), which neither party could address as well, or as rapidly, alone. FEC projects are unique in their integration of researchers into collaborative teams across EPSCoR jurisdictions, and must develop a well-prepared, STEM-enabled workforce necessary to sustain research competitiveness.

For NSF EPSCoR to achieve this vision, requires not only advancing the frontiers of science, engineering, and education but also ensuring that U.S. research is an inclusive enterprise that harnesses the talent of all sectors of American society.

Therefore, the recruitment and/or development of early-career faculty, postdoctoral researchers, undergraduates, graduate students, and K-12 students, are critical in achieving this goal and must be an integral component of the proposed project.

Over the long term, RII-FEC investments are expected to result in sustained improvements in research competitiveness, enabling EPSCoR investigators to successfully pursue significant opportunities of national and international importance in science and engineering research and education. It is expected that previous NSF and other federal agency investments will be leveraged and translated into advancing the understanding of the focus area. All proposals must clearly indicate the intended social impact, demonstrating how the project will benefit the community in the involved jurisdiction(s). Non-EPSCoR and international collaborations may be included, but no EPSCoR funds should be directed to these organizations

Central to the success of the proposal is a clear demonstration that the collaboration is well-positioned to produce outcomes that cannot be obtained through the efforts of a team in a single jurisdiction working alone. The proposal must clearly identify the roles and contributions of each partner in the project, the anticipated increases in research capacity and competitiveness, the projected workforce development and educational plan and outcomes, and the benefits to the jurisdictions, the Nation, and society. It is expected that these collaborations be balanced, with participating jurisdictions each contributing to and benefiting from projects at levels that are appropriate to their capabilities.

To ensure maximum impact of available programmatic funds, requests for RII-FEC funding must:

• Add significantly to the research capacity of the participating jurisdictions in the focus area;
• Contribute to the advancement of research and innovation in the focus area;
• Illustrate how the participating jurisdictions' research capacities will be positively impacted by the collaborative effort;
• Outline clear plans for the recruitment and/or development of the full spectrum of diverse talent in STEM as early-career faculty;
• Engage the full diversity of the participating jurisdictions' resources including two- and four-year colleges, Minority-Serving Institutions, and local and state industries in STEM workforce development;
• Include social and economic expertise to understand and assess the societal implications of the focus area, as detailed in the published biennial Dear Colleague Letter (DCL); and
• Present a sustainability plan for obtaining subsequent, sustained non-EPSCoR funding from federal, jurisdictional, or private sector sources.

RII-FEC proposals are expected to be STEM-driven collaborations and the PI and co-PIs should all be active researchers in the research topic(s) of the proposal. Proposals should clearly explain how the proposed research, education, and workforce development activities will create or increase the capacity for the jurisdictions involved to participate in continued research. Proposals must include a timetable or strategic plan for achieving those goals, and/or a logic model with a clearly articulated theory of change that identifies appropriate indicators of progress towards the desired outcomes.

 To apply for this opportunity email the following to limitedfunding@dartmouth.edu

Overview/abstract of proposal (one page maximum)
Total request amount
Curriculum Vitae (CV) or biosketch

Internal Deadline: June 25, 2026
Sponsor Letter of Intent (LOI) required Deadline: December 15, 2026 (requires OSP review and submission)

Sponsor Application Deadline: January 26, 2027

NSF 26-513: U.S. National Science Foundation State and Regional Artificial Intelligence Infrastructure Hubs:
Expanding Access to Compute for Scientific Discovery (AI Infrastructure Hubs)

National Science Foundation

Synopsis of Program:

The NSF State and Regional AI Infrastructure Hubs program aims to expand access to the compute required for AI-enabled scientific discovery and to transform the research, education, and training opportunities offered by institutions of higher education. AI Infrastructure Hubs will connect researchers to new compute infrastructure that leverages contributions from state governments, research institutions, industry, and philanthropy, accelerating AI-enabled discovery across science and engineering and developing a skilled technical workforce for AI use in the scientific enterprise.

The program responds to a core tenet of Science: A New Golden Age to renew America's research and development (R&D) for changes in today's scientific enterprise, including the role of AI in laying the foundation for a new era of scientific discovery and the growing role of industry and philanthropy in funding R&D. In response, the Administration's FY28 R&D Priorities Memorandum called for investing in AI for science as a national mission and expanding the scale of, and flexible access to, advanced compute and data infrastructure that researchers now require for frontier scientific discovery.

Each AI Infrastructure Hub will be organized as a flexible state or regional consortium of state and local governments, research institutions, philanthropies, and the private sector. Consortia will be responsible for all funding for new or expanded computing, data, and AI resources, whether on-premises or cloud-based. NSF will fund each Hub's consortium coordination, AI infrastructure workforce development, and faculty training and coursework development in leveraging AI for science.

Submission Limit per Institution: 1

To apply for this opportunity email the following to limitedfunding@dartmouth.edu

• Overview/abstract of proposal (one page maximum)
• Total request amount
• Curriculum Vitae (CV) or biosketch

Internal Deadline: September 8, 2026
Sponsor Application Deadline: November 04, 2026