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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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Experience with deep learning frameworks such as PyTorch or TensorFlow Exposure to AI-enabled scientific workflows that couple simulation with data-driven modeling, including emerging approaches involving
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competitors/frameworks (Mojo and JAX) for extreme‑scale heterogeneous systems. The selected researcher will explore how autonomous AI agents and LLM‑driven code generation can co‑evolve with next‑generation
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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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performance models. This position resides in the Materials Engineering Group in the Large-Scale Structures Section, Neutron Scattering Division, Neutron Sciences Directorate at Oak Ridge National Laboratory
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Requisition Id 16010 Overview: The Watershed Systems Modeling Group (WSMG) within the Environmental Sciences Division (ESD) at Oak Ridge National Laboratory (ORNL) is seeking a highly motivated