228 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" positions at Oak Ridge National Laboratory
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radiological facilities. Utilize Windows based personal computers, instrumentation operation, data reporting, analytical calculations, and sample management. Ensure compliance with environment, safety, health
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determinations. SYSTEM ANALYSIS Analyzes and trends results of preventive and predictive maintenance data. Analyzes equipment performance history. Ensures compliance with environment, safety, health, and quality
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supercomputer and world-class data facilities. This role sits at the intersection of AI at scale and HPC, giving you access to unmatched resources to prototype new ideas, run experiments, and translate methods
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supercomputer and world-class data facilities. This role sits at the intersection of AI at scale and HPC, giving you unmatched resources to prototype new ideas, run large ablations, and translate methods
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exploiting multiple diagnostics, data-driven/ML/AI analysis techniques, and pellet fueling modeling validation. Support and upgrade ORNL diagnostic and pellet injector hardware located at W7-X such as
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identifying cells, using microscopic techniques and procedures. Performing molecular diagnostic testing. Preparing reports of technological findings by collecting, analyzing, and summarizing information
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workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A BS degree in computer science, computer engineering, information technology, information systems, science
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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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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