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Ridge National Laboratory (ORNL) seeks a motivated Postdoctoral Research Associate. This position primarily focuses on large-scale molecular dynamics (MD) simulations and AI-integrated multiscale modeling
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instruments and checks calibration. Uses metrology software to transform coordinate systems and perform geometric best fits. Produces accurate and concise technical reports. Accurately and reliably communicates
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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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. 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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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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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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modeling and assessments. Responsibilities of the position will include advancing the Center for Radiation Protection Knowledge’s (CRPK) existing research capabilities and ongoing programs as
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regulatory and peer-review literature documents Find and collate existing information on fish passage technologies and assessments of performance Create models linking environmental and biological components
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to model complex system flows in processes relevant to the nuclear nonproliferation mission space. You will be expected to be a user of the tools generated, participate in model validation activities
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of simulation software to model complex system flows in processes relevant to the nuclear nonproliferation mission space. You will be expected to be a heavy end user of the tools generated, participate in model