Computational Toxicology: Biologically-Based Multi-Scale Modeling
The summary for the Computational Toxicology: Biologically-Based Multi-Scale Modeling grant is detailed below.
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Computational Toxicology: Biologically-Based Multi-Scale Modeling: The U.S. Environmental Protection Agency (EPA), as part of its Science to Achieve Results (STAR) program, is seeking applications for research in developing quantitative, dose-response models to elucidate the associations between environmental agents and toxicity pathways across multiple scales of biological organization. Additionally, this solicitation calls for research into ways in which the data underlying these models can be managed and shared for easier access, interpretation and use by the broader community of researchers and risk assessors.
Federal Grant Title: | Computational Toxicology: Biologically-Based Multi-Scale Modeling |
Federal Agency Name: | Environmental Protection Agency |
Grant Categories: | Environment |
Type of Opportunity: | Discretionary |
Funding Opportunity Number: | EPA-G2010-STAR-C3 |
Type of Funding: | Cooperative Agreement Grant |
CFDA Numbers: | 66.509 |
CFDA Descriptions: | Science To Achieve Results (STAR) Research Program |
Current Application Deadline: | Jul 15, 2010 Pleas |
Original Application Deadline: | Jul 15, 2010 Pleas |
Posted Date: | Apr 15, 2010 |
Creation Date: | Apr 15, 2010 |
Archive Date: | Aug 14, 2010 |
Total Program Funding: | $3,000,000 |
Maximum Federal Grant Award: | $750,000 |
Minimum Federal Grant Award: | |
Expected Number of Awards: | 4 |
Cost Sharing or Matching: | No |
- Applicants Eligible for this Grant
- State governments - County governments - City or township governments - Public and State controlled institutions of higher education - Native American tribal governments (Federally recognized) - Private institutions of higher education - Others (see text field entitled "Additional Information on Eligibility" for clarification)
- Additional Information on Eligibility
- See Section III of the announcement for additional eligibility information.
- Link to Full Grant Announcement
- Information not provided
- Grant Announcement Contact
- Pasky Pascual, 202-343-9710.
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