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, including active learning or Bayesian optimization. Experience with imaging, time-series or high-dimensional data. Exposure to crystallography or structural biology. Experience with multimodal datasets and
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the Biological, Environmental and Planetary Science Division. Advance the frontiers of structural biology by developing AI-driven methods for interpreting complex crystallographic data. This role will enable new
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-supported advanced manufacturing and AI research initiatives. Required Knowledge, Skills, and Abilities: Ph.D. in materials science, mechanical engineering, physics, chemistry, data science, or a related
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strengthen U.S. leadership in QIST. This calls for expertise across disciplinary sciences – encompassing quantum information theory, physics of quantum materials – to develop new design principles for scalable
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the compensation employees receive. Review more information at BNL | Benefits Program JOB DESCRIPTION: We are looking for a Postdoctoral Research Associate in theoretical condensed matter physics, with interests