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    Materials Discovery Using Synchrotron Radiation, Machine Learning, and Artificial Intelligence

    Develop AI/ML methods for synchrotron experiments at Brookhaven Lab, focusing on NIST's beamline to automate XAS, XRF, and XRD measurements.

    OverviewSimilar Grants
    OverviewSimilar Grants

    This grant is no longer accepting proposals

    NRC Research Associateship Programs has archived this opportunity.

    Artificial Intelligence in Materials Science

    Artificial Intelligence in Materials Science supports researchers combining AI and physical theories for materials discovery, simulation, inverse design, and autonomous experiments to advance scientific discovery.

    IPAMDue Apr 16, 2027

    National Facilities

    The National Facilities program supports specialized research facilities for scientists and engineers in multiple disciplines, providing unique capabilities and educational opportunities.

    NSFRolling submissions

    Limited Competition: NIGMS Mature Synchrotron Resources for Structural Biology

    This grant supports advanced synchrotron facilities that provide X-ray beamlines, training, and expert help for biomedical researchers studying structural biology.

    HHS-NIH11Due Oct 2, 2028

    NSF X-Labs Initiative

    NSF X-Labs Initiative funds interdisciplinary teams to pursue groundbreaking research and develop transformative platform technologies in key science and technology fields.

    NSF-XLabsDue May 14, 2028$1,500,000,000

    NSF X-Labs Initiative - From Sequence to Function

    NSF X-Labs Initiative - From Sequence to Function supports bioengineering teams developing platform technologies to link protein sequence and structure to predictable or controllable biological function.

    NSF-XLabsDue Feb 8, 2027$1,500,000,000