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Predictive Multiscale Models of the Physiome in Health and Disease (R01)

Post Date

November 5th 2007

Application Due Date

November 30th -0001

Multiple Receipt Dates - See Link to Full Announcement for details.

Funding Opportunity Number

PAR-08-023

CFDA Number(s)

93.113
93.173
93.233
93.242
93.279
93.286
93.396
93.837
93.838
93.839
93.846
93.853
93.859
93.866
93.879

Funding Instrument Type(s)

Grant

Funding Activity Categories

Education
Environment
Health

Eligibility Categories

State Governments
County Governments
City or Township Governments
Special District Governments
Independent School Districts
Public and State Controlled Institutions of Higher Education
Federally Recognized Native American Tribal Governments
Public Housing Authorities or Indian Housing Authorities
Non-Federally Recognized Native American Tribal Organizations
Non-Profits With 501 (c) (3) Status With The IRS (Except Higher Education Institutions)
Non-Profits Without 501 (c) (3) Status With The IRS (Except Higher Education Institutions)
Private Institutions of Higher Education
For-Profit Organizations (Except Small Businesses)
Small Businesses
Other

Foreign institutions are eligible to apply.

Funding

  • Award Range:

    $None - $None

Grant Description

This Funding Opportunity Announcement (FOA) issued by the National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Cancer Institute (NCI), National Heart, Lung, and Blood Institute (NHLBI), National Institute on Aging (NIA), National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), National Institute on Deafness and Other Communication Disorders (NIDCD), National Institute on Drug Abuse (NIDA), National Institute of Environmental Health Sciences (NIEHS), National Institute of General Medical Sciences (NIGMS), National Institute of Mental Health (NIMH), National Institute of Neurological Disorders and Stroke (NINDS), and National Library of Medicine (NLM) solicits Research Project Grant (R01) applications from institutions/ organizations that propose to develop predictive multiscale models of the physiome in health and disease.

Contact Information


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