182 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Stanford University" uni jobs at Oak Ridge National Laboratory
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processes. Monitors and advises on how the quality system is performing, which often includes data analysis and organizational performance monitoring in several areas including but not limited to quality
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environments Experience with parallel computing environments, HPC in a Linux environment Experience with surrogate modeling Experience with data analytics techniques Familiarity with C++ and GPU programming
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environments Experience with parallel computing environments, HPC in a Linux environment Experience with surrogate modeling Experience with data analytics techniques Familiarity with C++ and GPU programming
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a team. NCCS Provides state-of-the-art computational and data science infrastructure coupled with dedicated technical and scientific professionals tackling large-scale problems across a broad range of
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to the marketplace. NND is a national leader in developing technology for nuclear security, delivering software solutions for mission management, data collection, materials tracking, and analytics. Job Duties and
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develop rapid prototypes to demonstrate new innovations. This position resides in the GeoAI Research Group in the Geographic Data Science Section, Geospatial Science and Human Security (GSHS) Division
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respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A BS in a business management, information technology, computer science, computer engineering
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field technical support and contribute to preventive and lead preventive and predictive maintenance planning efforts. Lead operability assessments and evaluate performance data to identify trends
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procedures for operation and maintenance. Evaluate data generated from the facility data monitoring software to make recommendations for improved design or operational practices. Participate in operational
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-scale storage systems and HPC platforms to support research, scientific, and enterprise workloads. Develop and implement solutions for structured, unstructured, and archival data storage, focusing