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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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science, electrical engineering, computer engineering, computer science, data science, applied mathematics, or a closely related field Demonstrated experience applying data analytics, statistical modeling
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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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science, electrical engineering, computer engineering, computer science, data science, applied mathematics, or a closely related field Demonstrated experience applying data analytics, statistical modeling
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infrastructure, including the world’s first exaflop system, Frontier. The Team: As a Research Software Engineer (RSE) in the Data and Platform Services (DAPS) group, you will work within the HPC Operations Section
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infrastructure, including the world’s first exaflop system, Frontier. The Team: As a Lead Research Software Engineer (RSE) in the Data and Platform Services (DAPS) group, you will work within the HPC Operations
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environment. The successful candidate will develop and apply advanced machine learning techniques—including multimodal AI, computer vision, and large language models—to complex scientific and engineering
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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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habitat use. The successful candidate will work within a multidisciplinary team of biologists, hydrologists, engineers, and data scientists, contributing to nationally relevant research that informs
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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