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Find similar grantsPostdoctoral Research Fellowships in Biology (PRFB) is sponsored by NSF Division of Biological Infrastructure. Supports postdoctoral research in biological sciences, including areas related to biotechnology and bioengineering.
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Postdoctoral Research Fellowships in Biology (PRFB) | NSF - U.S. National Science Foundation Postdoctoral Research Fellowships in Biology (PRFB) Important information for proposers and award recipients All proposals must be submitted in accordance with the requirements specified in the funding opportunity and in the Proposal & Award Policies & Procedures Guide (PAPPG) and its supplements .
All NSF grants and cooperative agreements are subject to the applicable set of NSF award terms and conditions . NSF has updated its research security policies for NSF funded projects. Supports postdoctoral fellowships that train early-career scientists to apply AI to biological research, advancing biotechnology innovation while preparing future leaders at the intersection of AI and biology.
Supports postdoctoral fellowships that train early-career scientists to apply AI to biological research, advancing biotechnology innovation while preparing future leaders at the intersection of AI and biology. 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.
Postdoctoral Research Fellowships in Biology June 17, 2026 - NSF BIO Virtual Office Hour Webinar: Updates from the NSF… Additional program resources How to Apply for Fellowship Applicants Sponsoring Scientist Statement Instructions Postdoctoral Research Fellowships in Biology (PRFB) Administrative Guide (NSF 25-032) PRFB Reference Letter Author Submission Guide Awards made through this program Browse projects funded by this program Map of recent awards made through this program Directorate for Biological Sciences (BIO) Division of Biological Infrastructure (BIO/DBI) This program provides educational opportunities for Post-Doctoral fellows.
According to the current listing, eligibility includes: Individuals with a Ph. D. in biological sciences. Confirm the full requirements in the official notice before applying.
Applications for Postdoctoral Research Fellowships in Biology (PRFB) are due September 29, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
Postdoctoral Research Fellowships in Biology (PRFB) is funded by NSF Division of Biological Infrastructure. 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.
MGPV Travel Grant is sponsored by Geological Society of America (GSA), Mineralogy, Geochemistry, Petrology, Volcanology Division. MGPV Travel grants support student travel to the annual GSA meeting. Applications are restricted to active graduate or undergraduate students who are the presenting authors of an accepted abstract at the annual GSA meeting.
Research Opportunities in Space and Earth Science (ROSES) - 2025: A.4 Rapid Response and Novel Research in Earth Science is sponsored by National Aeronautics and Space Administration (NASA) Science Mission Directorate (SMD). This omnibus research funding opportunity includes various program elements, with rolling submissions for Earth Science research through August 2026. Proposers to Earth Science using the NASA Center for Climate Simulation high-end computing facility must include specific budget details.
NSF 26-513 makes roughly $100 million available for up to 10 State and Regional AI Infrastructure Hubs at $4M to $12M each over five years. One award per state or multi-state region. One proposal per organization. And NSF is not buying you GPUs — it funds the coordination, the workforce and the faculty training, while the compute has to come from partners you have to already have.
Read articleAnnounced August 4, 2026, NSF 26-513 will fund up to 10 State and Regional AI Infrastructure Hubs at $4-12M each over five years. It is a cooperative-agreement, public-private consortium model designed to put frontier compute in the hands of researchers outside the elite institutions. Here is how the program is structured, who can lead, and how to build a competitive consortium before the November 4 deadline.
Read articleOn July 22, 2026, NSF announced $83 million in Integrated Data Systems and Services awards and launched a companion program, Unlocking Dataset Value for AI-Enabled Scientific Discovery, offering up to $100 million in $2M-$5M awards. Together they fund the least glamorous and most decisive part of the AI-for-science stack: the data. Here is what each program funds, who won the first round, how the two fit the Genesis Mission, and the concrete strategy for research teams that missed the first cohort.
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