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Research Project Grants (R01/R35) is sponsored by National Institute of General Medical Sciences (NIGMS) (NIH). NIGMS emphasizes supporting individual, investigator-initiated grants within its scientific mission areas, which include fundamental biomedical sciences.
Mechanistic research into the physiology of ECMO circuits could fall under general physiological or bioengineering research interests of NIGMS, particularly if it focuses on basic scientific principles underlying the technology and its interaction with biological systems.
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Or search similar grants →According to the current listing, eligibility includes: Investigators at universities and other research institutions. Confirm the full requirements in the official notice before applying.
Research Project Grants (R01/R35) is funded by National Institute of General Medical Sciences (NIGMS) (NIH). Verify program details on the funder's official page before applying.
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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.
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