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Find similar grantsScientific Machine Learning for Complex Systems is sponsored by DOE Office of Science, Advanced Scientific Computing Research (ASCR). This opportunity supports mission-aligned projects and measurable outcomes.
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gov Maintenance Calendar Advancing Uncertainty Quantification (UQ) in Modeling, Simulation, and Analysis of Complex Systems Document Type:Grants Notice Funding Opportunity Number:DE-FOA-0000315 Funding Opportunity Title:Advancing Uncertainty Quantification (UQ) in Modeling, Simulation, and Analysis of Complex Systems Opportunity Category:Discretionary Opportunity Category Explanation: Funding Instrument Type:Grant Category of Funding Activity:Science and Technology and other Research and Development Expected Number of Awards:6 Assistance Listings:81.
049 -- Office of Science Financial Assistance Program Cost Sharing or Matching Requirement:No Original Closing Date for Applications:Apr 26, 2010 Current Closing Date for Applications:Apr 26, 2010 Archive Date:Jun 16, 2010 Estimated Total Program Funding:$ 3,000,000 Eligible Applicants:Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled "Additional Information on Eligibility" Additional Information on Eligibility:All types of domestic entities are eligible to apply, except other Federal agencies, Federally Funded Research and Development Centers (FFRDCs), and nonprofit organizations described in section 501(c)(4) of the Internal Revenue Code of 1986 that engaged in lobbying activities after December 31,1995.
## Additional Information Agency Name:Chicago Service Center Description:The Office of Advanced Scientific Computing Research (ASCR) of the Office of Science (SC), U.S. Department of Energy (DOE), hereby announces its interest in receiving applications for research addressing the mathematical and computational challenges of uncertainty quantification in the modeling and simulation of complex natural and engineered systems.
Link to Additional Information:FedConnect Grantor Contact Information:If you have difficulty accessing the full announcement electronically, please contact: Marilyn M. Oyler, Grant Analyst, 301-903-3604 marilyn. oyler@science.
doe. gov Alexandra M. Landsberg, Technical Scientific Program Contact, 301-903-8507 sandy.
landsberg@science. doe. gov Karen I.
Pao, Technical Scientific Program Contact, 301-903-5384 karen. pao@science. doe.
gov marilyn. oyler@science. doe.
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Scientific Machine Learning for Complex Systems is funded by DOE Office of Science, Advanced Scientific Computing Research (ASCR). Verify program details on the funder's official page before applying.
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MGPV Travel Grant is sponsored by Geological Society of America (GSA), Mineralogy, Geochemistry, Petrology, Volcanology Division. MGPV Travel grants support student travel to the annual GSA meeting. Applications are restricted to active graduate or undergraduate students who are the presenting authors of an accepted abstract at the annual GSA meeting.
Research Opportunities in Space and Earth Science (ROSES) - 2025: A.4 Rapid Response and Novel Research in Earth Science is sponsored by National Aeronautics and Space Administration (NASA) Science Mission Directorate (SMD). This omnibus research funding opportunity includes various program elements, with rolling submissions for Earth Science research through August 2026. Proposers to Earth Science using the NASA Center for Climate Simulation high-end computing facility must include specific budget details.
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