80 education-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Oak Ridge National Laboratory
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Peatland Responses Under Changing Environments) experiment and other DOE-supported observational networks. Major Duties/Responsibilities: Develop, implement, and test new and improved process representations
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the Nuclear Energy and Fuel Cycle Division, Fusion and Fission Energy and Science Directorate at Oak Ridge National Laboratory (ORNL). The FCCI Group applies modern materials science to design, develop
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: Conduct research and develop next-generation CFD methods (with finite volume and finite element techniques) and models for a variety of nuclear energy systems, using world-leading high-performance computing
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facility in the nation. We are seeking to add to our team an energetic and creative postdoctoral research associate. Major Duties/Responsibilities: Research and develop the next generation of advanced
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: Develop physics-based, data-driven, and hybrid (physics-informed ML) models of thermal systems to capture dynamic thermal behavior Validate models against experimental data and refine model accuracy and
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-preservation algorithms. The successful candidate will develop cutting-edge differential privacy techniques for large-scale models across multiple institutions. This position offers a unique opportunity to work
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, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance
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Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts. If you have
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Materials Analysis in the Nuclear Nonproliferation Division in the National Security Sciences Directorate at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Develop, validate, and extend
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of large-scale geospatial and time-series datasets. The candidate will develop and evaluate multimodal AI models to characterize vegetation and land-surface dynamics and quantify ecosystem responses and