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with data-driven modeling, including emerging approaches involving foundation models or scientific LLMs Special Requirements: This position requires the ability to obtain and maintain a clearance from
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Requisition Id 16168 Overview: The Environmental Sciences Division (ESD) of Oak Ridge National Laboratory (ORNL) has an opening for a Data Systems AI/ML Engineer within its Earth Sciences
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analysis. Proficiency in survey design and statistical analysis. Experience working in compliance-driven or DOE-regulated environments. Facility with AI and large language models (LLM) tools to support
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modeling, multiscale approaches) to support materials development and manufacturing process understanding. Use AI, machine learning, and data-driven methods as enabling tools to accelerate experimentation
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compliance-driven or DOE-regulated environments. Facility with AI and large language models (LLM) tools to support analysis, documentation, reporting, and knowledge integration, consistent with data security
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simulations or for data-driven modeling. Integrate (or co-simulate) grid component/device models into open-source software tools for integrated system dynamic and transient simulations. Develop different
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physics through a combination of exploiting multiple diagnostics, data-driven/ML/AI analysis techniques, and pellet fueling modeling validation. Support and upgrade ORNL diagnostic and pellet injector
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physics through a combination of exploiting multiple diagnostics, data-driven/ML/AI analysis techniques, and pellet fueling modeling validation. Support and upgrade ORNL diagnostic and pellet injector
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through multidisciplinary research, data analytics, modeling, engineering design, decision support, and visualization. The group develops innovative tools and technologies to enhance the efficiency
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breakthrough science in fields like fusion energy, climate modeling, AI, and national security. Collaborate with diverse teams of scientists, engineers, and technologists from across the DOE complex and academia