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comparative research across Mojo, Julia, Rust, and vendor toolchains. Basic Qualifications: Ph.D. in Computer Science, Computer Engineering, or related field. Experience with LLMs or agentic AI frameworks
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health research projects. The research activities include HIPAA compliant research data that has been entrusted to ORNL by sponsors such as the National Cancer Institute. We work on some of the most
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with developing AI/ML workflows and integrating them into software projects. Developing or contributing to large, complex software systems. Scientific data visualization and/or scientific data analysis
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Ridge National Laboratory (ORNL) seeks a motivated Research Professional. This position primarily focuses on large-scale molecular dynamics (MD) simulations and AI-integrated multiscale modeling
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: The design and analysis of computational methods that accelerate AI/ML when applied to large scientific data sets; Energy efficient physics-aware algorithms, capable of distributed learning on high performance
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, data centers, , office, etc.), and full scope of operational services (maintenance, janitorial, construction, fabrication, logistical, etc.). Responsible for stewarding the laboratory’s emergency
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and processes at scale in a HPC environment. Design and develop new creative solutions for increasing large volumes of historical and streaming data analysis on hybrid HPC and cloud computing platforms
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service offerings (e.g., large-scale geospatial compute pipelines, data ingest/curation/archive, analytics/visualization, user support). Establish operating policies, SLAs, user workflows, resource
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into impactful energy, environmental, and national security solutions. The Geospatial Data Modelling Group within the Human Dynamics Section, part of the Geospatial Science and Human Security Division at ORNL, is
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on either a large-scale scientific research and development project or large scientific instrument project. Oak Ridge National Laboratory (ORNL) is the largest US Department of Energy science and energy