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machine learning models at a world-class high-performance computing facility The candidate will have access to state-of-the-art computing resources, including: NVIDIA DGX-2 Systems: Powerful platforms
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to develop innovative technologies to improve the efficiency of resource utilization; to minimize our dependence on imported materials; and to enhance our national security. This position is broadly focused
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, interdisciplinary environment with access to large-scale computing resources and diverse scientific use cases. The position strongly supports publishing in top-tier venues, contributing to open-source research
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to state-of-the-art microfabrication facilities and world-leading supercomputing resources. Interactions with research groups at Fermilab, the University of Chicago, and Northwestern University are highly
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datasets, complex simulations, and multimodal information. This position provides the opportunity to work with some of the world’s most advanced computing resources, including flagship exascale
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-field survey datasets. This position offers the opportunity to collaborate extensively with CPAC colleagues and the broader SPHEREx science team. Collaborative Environment and Resources The cosmology
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developing machine learning surrogates and emulators for dynamical systems. Proficiency in managing large datasets and training with GPU-enabled computing resources. Expertise in numerical optimization and
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/reactions, with increasing emphasis on using artificial intelligence and quantum information science. The group has access to extensive laboratory and national computational resources and has significant
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research to develop sustainable innovative technologies to improve the efficiency of resource and energy utilization; to increase our economic competitiveness; and to enhance our national security
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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