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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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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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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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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 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 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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/Output Controllers (IOCs), Operator Interfaces (OPIs) and networking. Maintain EPICS services, including data archiving, alarming, and gateway services; monitor performance and plan upgrades as needed