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Leveraging Big Data Science to Elucidate the Neural Mechanisms of Addiction and Substance Use Disorder (R21 - Clinical Trials Not Allowed)
The purpose of this FOA is to attract data and computational scientists to propose novel ways to integrate data of different types and scales to allow new types of analysis.
It is expected that with the development and application of novel computational, bioinformatics, statistical, and analytical
approaches, previously inaccessible insights will reveal new aspects of addiction biology.
It is expected that with the development and application of novel computational, bioinformatics, statistical, and analytical
approaches, previously inaccessible insights will reveal new aspects of addiction biology.
Agency: Department of Health and Human Services
Office: National Institutes of Health
Estimated Funding: $80,000
Office: National Institutes of Health
Estimated Funding: $80,000
Who's Eligible
Relevant Nonprofit Program Categories
Obtain Full Opportunity Text:
http://grants.nih.gov/grants/guide/rfa-files/RFA-DA-20-007.html
Additional Information of Eligibility:
Other Eligible Applicants include the following: Alaska Native and Native Hawaiian Serving Institutions; Asian American Native American Pacific Islander Serving Institutions (AANAPISISs); Eligible Agencies of the Federal Government; Faith-based or Community-based Organizations; Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Indian/Native American Tribal Governments (Other than Federally Recognized); Non-domestic (non-U.S.) Entities (Foreign Organizations); Regional Organizations; Tribally Controlled Colleges and Universities (TCCUs) ; U. S. Territory or Possession.
Full Opportunity Web Address:
http://grants.nih.gov/grants/guide/rfa-files/RFA-DA-20-007.html
Contact:
Agency Email Description:
If you have any problems linking to this funding announcement, please contact the NIH OER Webmaster
Agency Email:
Date Posted:
2019-07-10
Application Due Date:
Archive Date:
2019-12-20
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