Training in Computational Neuroscience: From Biology to Model and Back Again (T90)

The summary for the Training in Computational Neuroscience: From Biology to Model and Back Again (T90) Federal Grant is detailed below. It contains information such as the Catalog of Federal Domestic Assistance (CFDA) number, who is eligible for the grant, how much grant money will be awarded, important deadlines, and a sampling of similar government grants. Verify the accuracy of the data FederalGrants.com provides by visiting the webpage noted in the Link to Full Announcement section or by contacting the appropriate person listed in the Grant Announcement Contact section. If these sections are incomplete, please visit the website of the government agency that is offering this grant.


	Federal Grant Title:	Training in Computational Neuroscience: From Biology to Model and Back Again (T90)
	CFDA Number:	93.12193.173
	CFDA Description:	Oral Diseases and Disorders Research 93.173 Research Related to Deafness and Communication Disorders
	Federal Agency Name:	National Institutes of Health
	Category of Funding Activity:	Environment Income Security and Social Services Education Health
	Category Explanation:	Information not provided
	Opportunity Category:	Discretionary
	Funding Opportunity Number:	RFA-DA-06-010
	Document Type:	Grants Notice
	Funding Instrument Type:	Grant
	Posted Date:	Dec 16, 2005
	Creation Date:	Dec 19, 2005
	Original Closing Date for Applications:	Mar 13, 2006
	Current Closing Date for Applications:	Information not provided
	Archive Date:	Apr 12, 2006
	Expected Number of Awards:	Information not provided
	Estimated Total Program Funding:	$1,300,000
	Federal Grant Award Ceiling:	$325,000
	Federal Grant Award Floor:	Information not provided
	Cost Sharing or Matching Requirement:	93.213 -- Research and Training in Complementary and Alternative Medicine

Applicants Eligible for this Grant: Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education Others (see text field entitled "Additional Information on Eligibility" for clarification) Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education Private institutions of higher education Public and State controlled institutions of higher education
Additional Information on Eligibility: Foreign institutions are not eligible to apply. A single institution may lack strengths in all areas needed to mount an integrated research training and research education program. This funding opportunity allows the participation of multiple sites. When other sites are involved, the applicant institution must be the primary site, and the application must include a resource format page for each site as described in the PHS 398 application. An eligible institution (e.g. a university) may submit only a single application in response to this funding opportunity. For the purposes of this RFA, components of a large or multi-component organization that are sufficiently independent to constitute, in effect, separate organizations are considered separate institutions. For example, the multiple campuses of the University of California system are considered separate institutions. However, the medical school, engineering school, or dental school, etc., o! f a university, even if on different campuses, constitute a single institution. Multiple applications from different divisions, faculties, schools, centers, etc. at the same institution will not be reviewed.
Grant Description: - This RFA is an initiative of the NIH Blueprint for Neuroscience Research (http://neuroscienceblueprint.nih.gov), a trans-NIH partnership to accelerate neuroscience research. Fifteen Institutes and Centers are participating in the Neuroscience Blueprint. This RFA will be administered by the National Institute on Drug Abuse (NIDA) on behalf of the Neuroscience Blueprint. - This funding opportunity will support integrated research education and research training programs that provide interdisciplinary training in basic neuroscience and the theoretical and technological approaches of computational neuroscience.
Link to Full Grant Announcement: http://grants.nih.gov/grants/guide/rfa-files/RFA-DA-06-010.html http://grants.nih.gov/grants/guide/rfa-files/RFA-DA-06-010.html
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