80 structural-maintenance-planning Postdoctoral positions at Oak Ridge National Laboratory
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quantification of radioactive complexes. As a member of our research team, you will take a leading role in the design, synthesis, characterization, and evaluation of novel chelation platforms for medically
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-on experience in catalytic reactor design and performing experiments with data reduction are needed. Experience in handling different types of hydrogen isotopic samples and irradiated samples are also desirable
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conferences. Supporting collective team goals, working harmoniously with colleagues, and maintaining rigorous compliance with environment, safety, health, and quality program requirements are fundamental
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this role, you will study buried interfaces, defects, and charge-transfer processes in vertically integrated semiconductor structures. The research will focus on low-dimensional and emerging materials
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, reinforcement learning, monte-carlo tree-search, causal ML etc. Design, develop, and validate interpretable cross-modal AI/ML models incorporating features from electronic structure theory for predictive
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Requisition Id 16540 Overview: We are seeking a Postdoctoral Research Associate who will develop and apply computational methods based on electronic structure theory and artificial intelligence
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and extreme environment structural materials. A strong background in mechanical behavior of materials is required. Demonstrated experience in the implementation of nonlinear constitutive models in
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/Responsibilities: Participate in the design, implementation, and deployment of scalable AI/DL models for power grid systems, including surrogate models and foundation-model workflows for OPF and related grid
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pipelines for structured and unstructured data Experience with multimodal datasets (e.g., imaging, time-series, and process data) Experience with API-based data services, workflow automation, or integration
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) with a particular focus on event forecasting, predictive maintenance, and corrective actions. The role would encompass working on forecasting, predictive, and text generation algorithms with Large