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Res Assoc Materials Sci
The CFN is seeking an exceptional postdoctoral researcher to pursue frontier research in artificial intelligence and machine learning (AI/ML) for advanced scientific discovery. The CFN has a productive research program on accelerating material discovery and developing autonomous experimentation. In this position, you will develop a virtual assistant for intuitive control and efficient human-computer interaction for X-ray experiments at Brookhaven's synchrotron. Your project will include the development of machine-learning methods and the deployment of the virtual assistant at multi-tasking experimental workstations, specifically at the X-ray scattering beamline CMS (Complex Materials Scattering). You will research frontier natural language processing (NLP) and large language


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