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advance the integration of observations and experiments into Earth system models across multiple scales. In particular, we are seeking a scientist with expertise in process-based modeling of biogeochemistry
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, implementing, and applying robust and high performance applications for biomedical research. You will have the opportunity to focus on developing new deep learning approaches and foundation models for multi
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and edge computing; The design of architectures/models which accurately capture the complexities of the data, with robust estimates of confidence in predictions and compressed quantities of interest
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Researcher for the Mechanical Systems Modeling (MSM) Group. The Electric Motor Researcher will conduct detailed analysis of electric motors and motor drive systems used in gas centrifuge applications
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. This environment enables the creation of high-fidelity digital twins and AI-ready datasets that support real-time monitoring, predictive modeling, and process optimization. In this role, you will leverage large
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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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experimentation and theoretical modeling. This position resides in the Collection Science and Engineering Group in the Modeling & Characterization Section, Nuclear Nonproliferation Division, National Security
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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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control solutions and validate them through real-time modeling and simulation. The position requires a strong understanding of power electronic system requirements, from component-level design to full
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networked controls used in transactive energy systems to unique modeling and simulation technologies for national security applications. Oak Ridge National Laboratory supports unique research needs