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at the intersection of artificial intelligence, high-performance computing, and scientific discovery. As the Department of Energy’s largest science and energy laboratory, ORNL delivers breakthrough capabilities in
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library collections and services. This position primarily oversees the administration, maintenance, and optimization of cloud-based library systems and technology; supports and enhances access and discovery
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Technology Computational Group facilitates ORNL goals through HPC systems engineering, integration, and support for the research community at ORNL. By providing design, deployment, optimization, monitoring
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solutions to compelling problems in energy and security. We are seeking a Postdoctoral Research Associate in the Advanced Computing for Chemistry and Materials Group in the National Center for Computational
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novel reduced order models for complex systems simulated by computational fluid dynamics and digital twin, performing fluid dynamics analysis, system modeling, analyzing results, preparing technical
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, accessibility, and performance. Backend: Build and operate APIs, services, and data pipelines; optimize performance and reliability; integrate with storage and compute platforms. Full-Stack: Own features end
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key findings in peer-reviewed journals in a timely manner. Collaborate within a multi-disciplinary research environment consisting of computational scientists, experimentalists, and engineers conducting
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organizations, and research customers to optimize system reliability and minimize operational impacts. Work with ORNL Security to coordinate maintenance and operation activities in Special Secured areas
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Requisition Id 16217 Overview: The Multiscale Biomedical Systems Group within the Advanced Computing in Health (ACH) section of the Computational Sciences and Engineering Division (CSED) at Oak
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. This environment enables the creation of high-fidelity digital twins and AI-ready datasets that support real-time monitoring, predictive modeling, and process optimization. In this role, you will leverage large