College of Engineering, Design & Computing Events

Data Science to Advance Chemical and Materials Sciences

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Data Science to Advance Chemical and Materials Sciences
DOE
This FOA is focused on new applications that will take advantage of the rapid growth of data science, including artificial intelligence and machine learning methodologies. The FOA will support teams of investigators for synergistic computational, experimental, and theoretical research covered by the research areas in the BES divisions of Chemical Sciences, Geosciences, and Biosciences and Materials Sciences and Engineering. This is a limited submission opportunity – please contact your pre-award manager to coordinate submission with OGC.
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