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deployment at ORNL. Ensure appropriate quality, configuration management, technical rigor, and formal work-control expectations are integrated throughout the technology lifecycle, from research and development
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data and develop data-driven methods for predicting land loss and ecosystem transitions in wetland-rich landscapes of the Gulf Coast with a focus on coastal Louisiana. This candidate will directly
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interconnection topologies that simplify the use of diverse distributed storage resources through advanced methods for distributed data placement, layout, tiering, and movement. Major Duties and Responsibilities
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HPC research within past five years. Preferred Qualifications: The ability to work independently and develop and deploy methods at scale. Experience in high-performance computing and software
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offered a salary at or near the top of the range for a position. Link to benefits. https://jobs.ornl.gov/content/Benefits/?locale=en_US Overview: We are seeking a Machine Learning Research Scientist who
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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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offered a salary at or near the top of the range for a position. Link to benefits. https://jobs.ornl.gov/content/Benefits/?locale=en_US Overview: The National Center for Computational Sciences (NCCS) at Oak
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, work together, and measure success. Basic Qualifications: A PhD in an Engineering discipline, Computer Science, or a related field At least two years of relevant experience Expertise in systems dynamics
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(ORNL). The Spectroscopy Section leads the development of neutron spectroscopy methods across 10 instruments at both the High Flux Isotope Reactor and Spallation Neutron Source enabling research in areas
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. Proficient researcher, practitioner and/or developer of tools and techniques relevant to secure and resilient cyber-physical systems. A fundamental understanding of methods, tools, and operational applications