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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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systems, data systems, ETL, analytics, visualization, computer driven distributed data processing, or similar geospatial research projects. Experience with open-source tools and system, OGC web services
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environment Experience with surrogate modeling Experience with data analytics techniques Familiarity with C++ and GPU programming Familiarity with Python programming Experience with modern software development
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environment Experience with surrogate modeling Experience with data analytics techniques Familiarity with C++ and GPU programming Familiarity with Python programming Experience with modern software development
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environment Experience with surrogate modeling Experience with data analytics techniques Familiarity with C++ and GPU programming Familiarity with Python programming Experience with modern software development
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processing and data analysis tools relating to extraction of information from dynamic test results. Experience in Machine Learning Algorithms and Data Analytics. Experience in Machinery Health Monitoring and
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service offerings (e.g., large-scale geospatial compute pipelines, data ingest/curation/archive, analytics/visualization, user support). Establish operating policies, SLAs, user workflows, resource