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UM-BILD Accelerator Cohort 3 Pilot Grants is sponsored by University of Maryland, Baltimore Life Science Discovery (UM-BILD) Accelerator (Led by UMB, includes UMBC). Pilot Grants to support acceleration of biomedical innovation, commercialization, and workforce development across the Baltimore region. Selected projects receive seed funding for a 12-month period, with potential for second-year funding.
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UM-BILD Accelerator Funding Applications for Cohort 3 Pilot Grants are being accepted through September 12, 2025 – Division of Research & Creative Achievement – UMBC Division of Research & Creative Achievement The University of Maryland, Baltimore Life Science Discovery (UM-BILD) Accelerator is now accepting letters of intent (LOIs) for Cohort 3 Pilot Grants to support acceleration of biomedical innovation, commercialization, and workforce development across the Baltimore region.
UM-BILD is a collaborative initiative led by the University of Maryland, Baltimore (UMB) and includes the University of Maryland, Baltimore County (UMBC), Morgan State University (MSU), the University of Maryland, College Park (UMD), Blackbird Laboratories, and TEDCO’s Maryland Innovation Initiative. Selected projects will receive up to $75,000 in seed funding for a 12-month period.
(An invitation for second-year funding may also be available.) Since its inception in September 2023, the UM-BILD program has 23 technology development programs, from small molecule therapeutics to medical devices and digital health solutions.
Our innovators are already achieving great success, with several technologies licensed to startup companies and advancing toward commercialization ( Accelerator Awardees — University of Maryland — UM-BILD ). We will continue to build Baltimore into a life science technology hub of the first rank.
Investigators working on technologies in the therapeutic, medical device, diagnostic, and digital health areas — particularly those that have the potential to address health care disparities or otherwise benefit residents of Baltimore — are encouraged to apply for funding. The program offers entrepreneurial training and mentorship to support project execution and further commercialization.
Participants are also connected to UM Ventures and regional commercialization networks. To explore recent highlights and upcoming opportunities, please check the UM Ventures website , including the current Baltimore Newsletter . To learn more, please visit the How to Apply page of UM-BILD’s website.
The electronic submission portal for LOIs opened Aug. 1, 2025, and will close at 5 p. m.
EDT on Friday, Sept. 12, 2025. All submissions will be reviewed by the UM-BILD administrative team.
In early October 2025, the top-ranked project teams will be invited to submit full applications. Final applications will be due by Friday, Dec. 12, 2025, and award recipients will be announced in March 2026.
Selected projects will begin work in May 2026, with the funding period running through April 2027. UM-BILD expects to fund eight Cohort 3 Pilot Grants, with principal investigators based at UMB, UMBC, and MSU. Learn more about this opportunity and LOI requirements at umaryland.
edu/um-bild . For questions, please contact UM-BILD@umaryland. edu .
I am interested in: Undergraduate I am interested in: Graduate I am interested in: Professional Masters
According to the current listing, eligibility includes: Investigators working on technologies in the therapeutic, medical device, diagnostic, and digital health areas, particularly those that have the potential to address health care disparities or otherwise benefit resident…. Confirm the full requirements in the official notice before applying.
The current listing shows up to $75,000. Verify award ceilings, matching requirements, and allowable costs in the official notice.
UM-BILD Accelerator Cohort 3 Pilot Grants is funded by University of Maryland, Baltimore Life Science Discovery (UM-BILD) Accelerator (Led by UMB, includes UMBC). 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.
NCI Continuing Umbrella of Research Experiences (CURE) Academic Career Excellence (ACE) Award (K32) is a grant from the National Cancer Institute (NCI) that funds early postdoctoral fellows from diverse backgrounds, including underrepresented groups, to pursue research training in cancer-related fields. The K32 award supports fellows within 12 months prior to transitioning into, or within the first two years of, a postdoctoral position. The program, operated through NCI's Center to Reduce Cancer Health Disparities (CRCHD), aims to enhance the pool of qualified diverse cancer researchers. Beginning with the June 12, 2025 due date, the CURE ACE Award is available in both Independent Clinical Trial Required and Independent Clinical Trial Not Allowed versions. Eligible applicants must be U.S. citizens or permanent residents at time of award.
Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) is sponsored by National Science Foundation (NSF) & National Institutes of Health (NIH). This interagency program supports high-risk, high-reward advances in AI and data science for biomedical and public health research. Projects must cross disciplinary boundaries.
On June 1, 2026, DARPA and the National Science Foundation jointly released the AI Forge initiative — a university-only forum, administered by a nonprofit launching summer 2026, that will fund Project Ventures of roughly $750,000 to $3 million over one-year terms in three thrust areas: AI interpretability, AI control, and adversarial robustness. The RFI on SAM.gov closes June 22 at 5pm ET and is restricted to U.S. universities and military service academies, one authorized submission per institution. Intellectual property is expected to be shared across forum participants, preferably through open-source licensing. This is the most significant joint DARPA-NSF research vehicle in a decade, and it is structured to bypass the frontier-lab model entirely.
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