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Because of the drastically increasing demand from AI/ML applications, the computing hardware industry has gravitated towards data formats narrower than the IEEE double format that most computational
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familiarity in machine learning (ML) and artificial intelligence (AI). This role is pivotal in evaluating the economic competitiveness of the U.S. in the production and manufacturing of energy-related materials
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facilities in partnership with the computational science community. We help researchers solve some of the world’s largest and most complex problems with our unique combination of supercomputing resources and
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operando characterization using the Advanced Photon Source (APS). This work will support critical material recovery and battery recycling initiatives. The successful candidate will help drive next-generation
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journal/conference publications; the successful candidate will develop open-source packages and help disseminate research results to academic and industry community; and will draft research proposals and
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facilities in partnership with the computational science community. We help researchers solve some of the world’s largest and most complex problems with our unique combination of supercomputing resources and