Grant opportunity
BRAIN Initiative: Theories, Models and Methods for Analysis of Complex Data from the Brain (R01)
NIH BRAIN Initiative funding for new theories, computational models, and methods for analysing complex brain and behaviour datasets.
- Funder
- National Institutes of Health (NIH)
- Deadline
- Oct 6, 2026
- Award
- Typically USD 150,000 to USD 350,000 direct costs per year
- Applicant
- Research Team
- Discipline
- Biomedical Sciences
- Region
- United States
- Posted
- May 11, 2026
Call summary
Overview
NIH BRAIN Initiative R01 opportunity for theories, models, and methods to analyse complex brain data.
Who can apply
- Eligible institutions and research teams under NIH R01 rules.
- Projects should address complex brain or behaviour data analysis.
What it supports
- Computational models, theories, methods, and analytic tools for complex neuroscience datasets.
Funding and duration
Typically USD 150,000 to USD 350,000 direct costs per year.
Application deadline
Oct 6, 2026
How to apply
Use the NIH Grants Guide RFA page for instructions, due dates, and application package links.
Call details
NIH BRAIN Initiative R01 opportunity for theories, models, and methods to analyse complex brain data.
National Institutes of Health (NIH) lists this opportunity for Research Team, Biomedical Sciences, United States. Applicants should use the official call page to confirm final requirements before submitting.
Eligible institutions and research teams under NIH R01 rules.
Projects should address complex brain or behaviour data analysis.
Computational models, theories, methods, and analytic tools for complex neuroscience datasets.
Typically USD 150,000 to USD 350,000 direct costs per year.
Application deadline: Oct 6, 2026.
Confirm the exact deadline time, time zone, and submission route on the official call page.
Plan internal approvals, partner confirmations, budgets, letters, and portal submission before the final deadline.
Use the NIH Grants Guide RFA page for instructions, due dates, and application package links.
Before submitting, check required documents, eligible costs, attachments, page limits, institutional approvals, and whether the opportunity uses an expression of interest, full proposal, registration, or nomination stage.