Search results for: data science

ITAR-23-0795 SLI#: 48136 DATA SCIENCE AND ADVANCE ANALYTIC PILOT PROJECT SUPPORT FOR CHIEF DATA OFFICE Solicitation ID/Procurement Identifier: DTFAWA10A00098 Ultimate Completion Date: Sat Jan 31 18:00:00 GMT 2026

Army Research Institute for the Behavioral and Social Sciences (ARI) announces the ARI FY18-23 Broad Agency Announcement for Basic, Applied, and Advanced Scientific Research.

Description ASCR’s mission is to advance applied mathematics and computer science; deliver the most advanced computational scientific applications in partnership with disciplinary science; advance computing and networking capabilities; and develop future generations of computing hardware and software tools for science and engineering, in partnership with the research community, including U.S. industry.

Serving Institutions, Tribal Colleges and Universities, and Under Resourced Schools.VI’s are encouraged to propose STEM Outreach activities that provide opportunities for students of all ages to learn from and to interact with VI researchers who are actively contributing to science, technology, engineering and math (STEM) research fields.III.

ASTROPHYSICS SCIENCE DATA CLOUD MIGRATION MANAGEMENT Solicitation ID/Procurement Identifier: 47QTCA19D00ER Ultimate Completion Date: Fri Jan 26 18:00:00 GMT 2024

/ Data Science/Mathematics Through Robotics-Neural Networks-Big Data-Human Computer Interface (HCI)-Machine Learning Grant.

On or after the publication date of this SAM.gov notice, the full, final text for a Request for Information (RFI) entitled “Scientific Data and Computing Architecture to Support Open Science” will be available for download from the NASA Solicitation and Proposal Integrated Review and Evaluation System (NSPIRES) at https://nspires.nasaprs.com by searching on number NNH23ZDA005L

Description The DOE SC program in Fusion Energy Sciences (FES) hereby announces its interest in applications in the areas of Machine Learning (ML), Artificial Intelligence (AI), and Data Resources for fusion energy and plasma sciences. The goal of this FOA is to support multi-disciplinary teams aiming to apply advanced and autonomous algorithms to address high-priority research opportunities across the FES program.

CDPH is interested in a solution that minimizes proprietary systems or techniques allowing CDPH to adapt to new and emerging technologies to provide enhanced services. The new system will be consistent with the vision of a data and information infrastructure that advances the science and policies of public health.