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, reactor core, spent fuel, and fuel cycle applications through leadership in the development and analysis of SCALE and/or the Virtual Environment for Reactor Applications (VERA) simulations and in
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also hosts the Oak Ridge Leadership Computing Facility (OLCF), a Department of Energy Office of Science User Facility. The OLCF has the charge to develop and apply transformational computational science
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characteristics and system-level requirements, and their suitability for scientific applications. The candidate will develop modeling and simulation capabilities to quantitatively evaluate quantum, classical, and
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data-model integration, leveraging the U.S. Department of Energy’s (DOE) Leadership-Class Computing Facilities to advance predictive understanding of complex environmental systems. Major Duties
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simulation tasks. Develop and maintain HPC-ready software workflows for distributed training, large-scale inference, scalable data ingestion, and data management on leadership-class computing systems and
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Postdoctoral Research Associate to join the Microbial Engineering Group. In this role, you will develop next‑generation genetic tools for non‑model microorganisms, enabling precise genome engineering in
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, devices, and networked systems. It develops community applications, data assets, and technologies and provides assurance to build knowledge and impact in novel, crosscut-science outcomes. The selected
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state-of-the-art high-performance computing. Key Research Areas: AI for Science: Research and development of large-scale AI models for science, focusing on pre-training, instruction-based fine-tuning, and
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modeling and networked biological systems. You will work at the intersection of high-performance computing (HPC), computational biophysics, and machine learning, leveraging leadership-class computing
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data-model integration, leveraging the U.S. Department of Energy’s (DOE) Leadership-Class Computing Facilities to advance predictive understanding of complex environmental systems. Major Duties