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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 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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characterization, topology optimization, and real-time sensing. CSED focuses on transdisciplinary computational science and analytics at scale to enable scientific discovery across the physical sciences, engineered
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detailed formal designs, test plans, test data analytics, and fabrication plans in coordination with stakeholder personnel. Additional duties include the following: Establish and conduct research within
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and execute system tests to ensure newly deployed systems can support user workloads. Proactively ensure that users have up-to-date information about the system, including any changes and their impact
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-sensing data, hydrologic and environmental measurements, and advanced computational models. These integrated data and analytical capabilities provide critical insights into how ecosystems respond
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respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in mechanical engineering, industrial engineering, electrical engineering, environmental
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/ML techniques for real-time, real-world data Transport and dispersion modeling Fate modeling of materials in the atmosphere Applied statistics Data analytics Deliver ORNL’s mission by aligning
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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