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Requisition Id 14893 Overview: We are seeking a Postdoctoral Research Associate who will develop and apply computational methods based on electronic structure theory approaches, as
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, urban networks (such as, electric grid and transportation networks), and urban disasters with a strong geospatial focus, statistical methods, graph theory, spatial computing, and semantic knowledge
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of sparse matrix, tensor and graph algorithms on distributed and heterogenouscomputational environments. Basic Qualifications: A PhD in Computer Science, Applied Mathematics, Computational Science, or related
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-edge statistical and mathematical methods to solve complex spatio-temporal problems at scale, supporting operational decision-making under uncertainty. Our mission spans diverse applications in national
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. Experience with low-code/no-code tools and Microsoft Power Apps. Familiarity with generative AI tools (e.g., Hugging Face, LangChain). Knowledge of vector and graph databases. Prior experience in a leadership
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minimum of one of the ISO 17000 standards listed above and NQA-1 quality standards. Professional level of experience applying technical principles, theories, professional competencies, and application
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success. Basic Qualifications: Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, or a related field with 2 years of relevant experience Strong
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tools (e.g., Hugging Face, LangChain). Knowledge of vector and graph databases. Prior experience in a leadership role managing complex AI/ML projects. Familiarity with ORNL processes and applications is a
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. Understanding of multidimensional and tabular modelling, vector databases, Graph DB. Experience using Microsoft Visual Studio or Visual Studio Code, Python, PyTorch, TensorFlow. 2-3 years’ experience leading
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three years in a management role. Proven experience with instructional design models (e.g., ADDIE, SAM), adult learning theory, and eLearning tools. Experience managing or supporting compliance-based