280 high-performance-quantum-computing-"https:"-"https:"-"https:" positions at Oak Ridge National Laboratory
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, control theory, data science, data driven methods, discrete mathematics, graph algorithms, high-performance computing, integral equations and nonlocal models, linear and multilinear algebra, machine
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computing solutions to efficiently scale testing environments supporting large datasets and high-performance AI workloads. Optimize resource allocation for simultaneous testing tasks and real-time tracking
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reactive transport or thermal hydrology modeling. Experience with high-performance computing (HPC). Motivated self-starter with the ability to work independently and to participate creatively in
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across ORNL’s high-performance computing (HPC) environment, supporting scalable, reliable, and secure computing and storage capabilities. Applications are reviewed on an ongoing basis as new positions
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Division (RRD) at Oak Ridge National Lab (ORNL). The Systems Engineering (SE), Design and Fabrication Group is responsible for the High Flux Isotope Reactor (HFIR) configuration management program. This
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in implementation of national policy issues that strive to ensure global nuclear security. One of the major focus areas of the AET group is the development of advanced approaches to operation
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relevance to clean energy, climate resilience, and infrastructure planning. Postdocs benefit from access to world-leading high-performance computing facilities and a deeply interdisciplinary research
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impactful research and development programs in healthcare informatics, bioinformatics, high performance computing and deep learning. You will work in a collaborative research and development environment
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assistance to management with complex problems. Occasionally trains, guides and mentors junior staff. Knowledgeable of procurement practices and procedures related to purchase of high-performance computing
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Requisition Id 15824 Overview: As a Senior Grid Sensors R&D Engineer, you will lead the development, testing, and large-scale deployment of sensing technologies for future smart grids. High