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monitoring in manufacturing environment Develop modular, extensible workflows for data processing Develop and deploy data analytics, machine learning, and statistical modeling methods for multimodal
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Requisition Id 16805 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 16411 Overview: The Analytics and AI Methods at Scale (AAIMS) group in the National Center for Computational Science (NCCS) is hiring a Research Scientist to advance the frontier
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-impact problems and to shape the future of intelligent manufacturing. Major Duties/Responsibilities: Develop and deploy data analytics, machine learning, and statistical modeling methods for multimodal
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data science to develop new methodologies for assessing and improving the quality of components fabricated using advanced manufacturing processes. This position resides in the Manufacturing Systems
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characterization using advanced analytical tools, such as synchrotron, neutron, and laboratory equipment. Experience in data analytics and modeling tools. Special Requirements: Applicants cannot have received
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, Chemistry (i.e., Analytical, Physical), or a related field completed within the last 5 years. Demonstrated skills and hands-on experiences with advanced materials characterization equipment and/or data
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evolution, phase stress, and defect evolution using advanced data analysis tools. Perform alloy fabrication and processing (e.g., arc melting, heat treatment) and relate processing to performance. Apply
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, implement and continually improve service offerings (e.g., large-scale geospatial compute pipelines, data ingest/curation/archive, analytics/visualization, user support). Establish operating policies, SLAs
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in high-performance computing and data analytics with applications in a large variety of science domains and NCCS is home to some of the fastest supercomputers and storage systems in the world