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implement operations models for both small- and large-scale isotope production facilities by studying product requirements, researching, designing, modifying, and testing methods and equipment. Participate
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position in AI for science. As energy consumption is becoming a serious challenge facing large-scale AI data centers, you will work with experts in this area exploring combination of existing techniques
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Department of Energy (DOE). ORNL’s CCP conducts world-class research and development in multi-scale computational coupled physics, large scale data analytics and DL, and model-data integration at the DOE’s
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-based modeling of hydrological and Earth system processes. The CHAS group conducts world-class research in hydrological and Earth system modeling, large-scale data analytics and machine learning (ML), and
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Associate who will focus on creating innovative uncertainty quantification and visualization algorithms that enable trusted visual representation and analysis of large-scale 2D/3D scientific data
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(S&T) capabilities (i.e., Earth, Environmental, and Atmospheric Science; Advanced Computing, Scientific Visualization and Data Sciences; and Earth and Energy Systems Infrastructure Analysis and
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techniques for the generation and exploration of complex, large-scale scientific data. Publishing research in leading peer-reviewed journals and conferences. Researching and developing parallel/scalable
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reactions, as well as nuclear data. The position is part of the nuclear physics team that resides in the Advanced Computing for Nuclear, Particle, and Astrophysics group at the National Center
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large-scale training and post-training pipelines (including distributed data/compute and evaluation harnesses). Collaborate with domain scientists and external partners; co-develop end-to-end AI workflows
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Requisition Id 15550 Overview: We’re hiring a Linux Systems Engineer who will play a crucial role in managing and supporting Linux servers and large storage systems! Areas of focus include