Sort by
Refine Your Search
-
will conduct advanced research to develop, evaluate, and scale efficient and cost-effective bioprocess technologies that improve resource and energy utilization, reduce dependence on imported materials
-
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
-
uncertainty. Working knowledge of electric power systems, with emphasis on distribution systems, microgrids, or inverter-based resources. Evidence of scholarly research productivity, such as peer-reviewed
-
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
-
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
-
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
-
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
-
, 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
-
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
-
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