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Computational Approaches in Fundamental Neuroscience is sponsored by National Institute of Mental Health (NIMH), National Institute on Aging (NIA), National Center for Complementary and Integrative Health (NCCIH), National Eye Institute (NEI), National Institute on Drug Abuse (NIDA), Office of Research on Women's Health (ORWH) (National Institutes of Health).
This program promotes the integration of computational approaches, including machine learning and AI algorithms, into fundamental neuroscience research. It encourages rigorous, hypothesis-driven multidisciplinary research to investigate molecular and cellular mechanisms underlying brain function in health and disease across the lifespan, relevant to cognitive, affective, and social domains.
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Or search similar grants →According to the current listing, eligibility includes: Investigators with computational and experimental neuroscience expertise; interdisciplinary collaborations are strongly encouraged. Applicants should apply through an appropriate NIH Parent Funding Announcement. Confirm the full requirements in the official notice before applying.
Applications for Computational Approaches in Fundamental Neuroscience are due January 27, 2028. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
Computational Approaches in Fundamental Neuroscience is funded by National Institute of Mental Health (NIMH), National Institute on Aging (NIA), National Center for Complementary and Integrative Health (NCCIH), National Eye Institute (NEI), National Institute on Drug Abuse (NIDA), Office of Research on Women's Health (ORWH) (National Institutes of Health). 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.
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