343 data-"https:" "https:" "https:" "https:" "U.S" "UCL" "UCL" positions at Oak Ridge National Laboratory
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software systems to manage and process large datasets related to building energy modeling and data visualization Strong software development skills for automation of many knowledge-based tasks in a version
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Laboratory (ORNL). As part of our team, you will investigate the atomic and electronic structures in energy and quantum materials and correlate them with relevant properties for energy and data storage
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on identifying mechanisms through which energy generation, infrastructure, and operations influence ecosystem structure, function, and services. Using integrative modeling, data synthesis, and systems analysis
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Requisition Id 16174 Level: RP03 Overview: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing
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applications. Our Group: MMF is a computational multiphysics modeling group at the forefront of deploying novel computational engineering techniques for problems that are critical to U.S. national and energy
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(ESTD), at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Design and install image-based and other sensing systems Develop data acquisition software for sensing systems Maintain and
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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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include: Information and Communication Management: Efficiently manage information flow and communications, ensuring alignment with the Division Administrative Assistant and other administrative staff
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Requisition Id 16148 Overview: Would you like to have a lasting and significant impact on a key user facility in the nation’s scientific infrastructure and strengthen U.S. scientific competitiveness
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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