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Requisition Id 15145 Overview: The National Center for Computational Sciences (NCCS) at the Oak Ridge National Laboratory (ORNL) is seeking a research scientist in the area of applied AI/ML
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management machine learning, distributed computing, and resource optimization leveraging the unique computational resources available at ORNL, including the Frontier supercomputer—the world's first exascale
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ORNL and ESED project’s quality assurance requirements. The successful candidate will be responsible for the coordination of division documents through review, approval, and distribution with additional
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communities. You will work closely with a focused group of scientists, technicians, and engineers on ambitious, fast paced technical projects in support of the DOE Isotope Program. This has been a quickly
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of sparse matrix, tensor and graph algorithms on distributed and heterogenouscomputational environments. Basic Qualifications: A PhD in Computer Science, Applied Mathematics, Computational Science, or related
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, semi- and non-conductors, oxide heterostructures, etc. In the traditional sense, you will be responsible for understanding basic microstructure, such as identifying the phase, phase distribution
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-conductors, oxide heterostructures, etc. In the traditional sense, you will be responsible for understanding basic microstructure, such as identifying the phase, phase distribution, precipitate volume
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-conductors, oxide heterostructures, etc. In the traditional sense, you will be responsible for understanding basic microstructure, such as identifying the phase, phase distribution, precipitate volume
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the SNS control system hardware and software, preparing systems for 2.8MW operations and building more cyber resilient computing and network infrastructure. Ongoing upgrade projects include replacing legacy
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; establish capabilities that enable the SNS user program to be successful and incorporate distributed control system best practices. Major Duties/Responsibilities: Establish a vision to successfully create and