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Find similar grantsPsilocybin Research Pilot Program is sponsored by State of New Jersey. New Jersey signed into law a $6 million hospital-based psilocybin research pilot program in January 2026. This program aims to support research into the therapeutic potential of psilocybin.
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Or search similar grants →According to the current listing, eligibility includes: Hospital-based research institutions within New Jersey. Specific eligibility details are to be determined by the state program. Confirm the full requirements in the official notice before applying.
The current listing shows $6,000,000. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Psilocybin Research Pilot Program is funded by State of New Jersey. Verify program details on the funder's official page before applying.
This opportunity targets applicants in New Jersey. If your organization operates elsewhere, check the official notice for location requirements.
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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.