Postdoctoral Research Fellowships in Biology
U.S. National Science Foundation · Other Federal · 26-504
Source: Grants.gov · View original posting ↗
- AwardWhat a single award can be worth — the funder's published per-award amount or floor–ceiling range.
- From $220K
- DeadlineFinal application due date.
- Sep 29, 2026
- Letter of intentDue date for the letter of intent (a short pre-application some funders require or request before the full proposal).
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- MechanismNIH activity code — the grant type (R01 research project, R21 exploratory, K series career development, F series fellowship, …).
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- DurationMaximum project period for a single award.
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- Expected awardsHow many awards the funder anticipates making under this opportunity.
- —
- Funding cycleHow often the program accepts applications (annual, multiple cycles per year, rolling, or one-time).
- Unknown
- Open dateWhen applications open (or opened).
- Feb 5, 2026
- Total fundingThe overall pool the funder expects to commit across ALL awards under this opportunity — not what one project receives.
- $16.5M total
- Clinical trialWhether proposed projects must, may, or must not include a clinical trial.
- Unspecified
Research areas
Auto-classified from the title and description (keyword-based) — may be imperfect.
Description
The integration of Artificial Intelligence (AI) and Biological Research has the potential to pave the way for breakthroughs in biotechnology and bio-system design that will create innovations, new industries, and jobs. To capitalize on this promise, the Directorate for Biological Sciences (BIO) will make awards for Postdoctoral Research Fellowships in Biology (PRFB) to recent doctoral degree recipients, for proposals with a research and training focus at the Intersection of Artificial Intelligence and Biological Sciences to Strengthen and Safeguard Biotechnology Innovations. Applying AI to highly complex biological systems will reveal unknown mechanisms in the natural world that hold promise for technological developments. Candidates with AI and/or biology experience will develop deep expertise in both by proposing additional training in both areas. These combinations of current expertise and new cross-training will produce scientists who work seamlessly at the intersection of AI and biology. The fellows are expected to become field leaders who use AI capabilities to extrapolate from biological data to technological advances. Proposers are encouraged to consider how to leverage the nation’s diversity of existing biological data, and biological infrastructure, such as Biofoundries, Programmable Cloud Labs, Manufacturing USA Institutes, and NEON, to accelerate discovery, innovation and the biotechnology that improves human lives, promotes the U.S. economy, and benefits the nation.