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We are seeking a highly motivated Postdoctoral Appointee with a strong background AI/ML specifically in the development and application of Large Language Models (LLMs) tailored for scientific use
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, clustering techniques etc.) Preferred skills in: Data analysis and/or scientific visualization (e.g. feature detection and tracking of high-level structures, classification, statistical summaries, comparisons
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reports for sponsors, and attend and make presentations at scientific meetings Communicate effectively with supervisors, peers, and Laboratory management through status updates, technical research reports
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kinetics for molten salt systems Communicate effectively with supervisors, peers, and Laboratory management through status updates, technical research reports, project presentations, peer-reviewed
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scientists to run the simulations at-scale using both current large clusters and the next generation supercomputing architectures. Work to consistently meet priorities and deadlines set by the research sponsor
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reports for sponsors, and attend and make presentations at scientific meetings Communicate effectively with supervisors, peers, and Laboratory management through status updates, technical research reports
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the computational science community. We empower researchers to tackle some of the most complex global challenges through our unique blend of supercomputing resources and computational science expertise. The ALCF is
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to develop, synthesize, characterize and electrochemically evaluate next generation cathode materials for lithium-ion and sodium-ion batteries. Position Requirements Recent or soon-to-be-completed PhD
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to state-of-the-art research facilities and gain in-depth knowledge of the research frontiers of in situ characterization of deposition science and electrochemical interfaces. Position Requirements: A PhD in
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, and spatial transcriptomics. Key responsibilities include: Developing AI/ML methods for image alignment across modalities Automated feature detection Predictive modeling of vascularization patterns