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will work closely with multidisciplinary teams of data scientists, software engineers, physicists, and domain experts to develop innovative analytic capabilities that support nuclear material detection
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-physical systems to create secure and resilient embedded devices. Work collaboratively with R&D staff in cybersecurity, cyber-physical security, advanced manufacturing, sensing, and data analytics to achieve
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),. Familiarity with data analytics, machine learning, digital twin knowledge, or Python programming language. Knowledge of additive manufacturing, process physics, thermodynamics, and/or metallurgy to interpret
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monitoring in manufacturing environment Develop modular, extensible workflows for data processing Develop and deploy data analytics, machine learning, and statistical modeling methods for multimodal
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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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, Safety, and Science and committing to ORNL's Research Code of Conduct: https://www.ornl.gov/content/research-integrity Basic Qualifications: A PhD in analytical chemistry, chemistry, chemical engineering
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analyzing and interpreting experimental data to drive product innovation, as well as obtaining and calibrating simulation parameters based on laboratory results. Regular interfacing between experimental and
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) at Oak Ridge National Laboratory (ORNL). CSED focuses on transdisciplinary computational science and analytics at scale to enable scientific discovery across the physical sciences, engineered systems, and
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, engineering or a related field or a PhD in mathematics, computer science, engineering with relevant experience. Preferred Qualifications: The following are a list of preferred qualifications, but not required
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strengths in high-performance computing, system architecture, and data analytics with applications in a large variety of science domains. NCCS is home to some of the fastest supercomputers and storage systems