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toward integration of hydropower with battery storage and other technologies. Computational and analytical skills : Demonstrated ability in selecting and deploying machine learning tools (Random Forest
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and chemical purification techniques. Experience using glove boxes and/or hot cell manipulators for isotope production. Ability to interpret data from analytical methods such as gamma-ray spectroscopy
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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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in the Computational Sciences and Engineering Division (CSED) at Oak Ridge National Laboratory (ORNL). CSED focuses on transdisciplinary computational science and analytics at scale to enable
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Electric Drives Research Transportation Analytics and Decision Science Vehicle Power Electronics Research Purpose: The R&D Section Head works closely with the Division Director, section Group Leaders
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, Precise i3 SGI SMC, HP PCM, Bright Cluster Manager (incl. Data Analytics) Infrastructure & Automation: Puppet, Cobbler, Ansible, Chef Red Hat Satellite, Kickstart, RPM optimization File Systems & Archiving
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engineering, chemical engineering, or a related field completed within the last five years Quantitative and analytical research background which can be applied to conduct research analysis on advanced
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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
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manufacturing competitiveness analysis relevant to advanced manufacturing technologies. The team builds and applies analysis tools and analytics to draw insights on the manufacturing sector’s impact on energy