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: The design and analysis of computational methods that accelerate AI/ML when applied to large scientific data sets; Energy efficient physics-aware algorithms, capable of distributed learning on high performance
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to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a
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projects relevant to catalysis and critical materials. Contribute to methods development and integrate data science to accelerate simulations, analyze large datasets, and extract properties. Work in multi
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postdoctoral research associate to advance the state of scientific AI by addressing cross-cutting challenges in data readiness for AI to enable scalable, reproducible AI workflows on leadership-class systems
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Systems — Artificial Intelligence, machine learning, and data analysis at scale. Visualization — Methods, tools, and technologies for visual data analysis. Workflow Systems — Large scale data management
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Requisition Id 16022 Overview: We are seeking a Computer Scientist or Engineer with a focus on Vulnerability Research who will support the Cyber Resilience and Intelligence Division in the National
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Requisition Id 16140 Overview: We are seeking a Postdoctoral Research Associate who will focus on data center thermal management technologies. This position resides in the Multifunctional
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Requisition Id 15974 Overview: We are seeking a Computer Engineer with a focus on Hardware Vulnerability Research who will support the Cyber Resilience and Intelligence Division in the National
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Requisition Id 15381 Overview: We are seeking a Data Engineer who will focus on engineering design, installation, and troubleshooting associated with the rapidly growing field of stable isotope
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meetings. Track and control schedule, budget, and costs for project activities. Analyze data and information to assess the need for, progress of, or outcome of project work. Remain current on all relevant