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-edge high-performance computing (HPC) that incorporate machine learning/artificial intelligence (ML/AI) techniques into visualizations, enhancing the efficiency and reliability of scientific discovery
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professionals to accelerate scientific discovery and engineering advances across a broad range of disciplines. As an important part of the broader High-Performance Computing (HPC) infrastructure, the division
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algorithms, capable of distributed learning on high performance and edge computing; The design of architectures/models which accurately capture the complexities of the data, with robust estimates of confidence
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crystal material’s growth and characterization. You will perform cutting-edge research on theory and modeling of dynamics in condensed matter. Major Duties/Responsibilities: Development of theoretical
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, high-performance computing (HPC), and computational sciences. Major Duties/Responsibilities: Participate in: (1) design and implementation of scalable DL algorithms for atomistic materials modeling
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, high performance computing and deep learning. The candidate will work in a collaborative research and development environment focusing on designing, implementing, and applying robust and high performance
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Requisition Id 15594 Overview: We are seeking a Maintenance Engineer for the High Flux Isotope Reactor (HFIR) who will be responsible for maintaining the HFIR equipment and facilities to ensure safe
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home to more than 7,500 staff, an outstanding ecosystem of world-class user facilities, and an unparalleled breadth of expertise spanning neutron science, high-performance computing, materials and
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scientific computing, control theory, data science, data driven methods, discrete mathematics, graph algorithms, high-performance computing, integral equations and nonlocal models, linear and multilinear
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. They will work closely with scientists, technicians, and engineers on technical projects in support of the DOE Isotope Program and other DOE missions. This program offers opportunities for professional growth