56 computational-physics "https:" "https:" "https:" "https:" "Caltech" research jobs at Oak Ridge National Laboratory
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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to Computational Fluid Dynamics. Mathematical topics of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and
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computed tomography (CT) reconstruction, including sparse-view and limited-angle algorithms, and the application of advanced machine learning (ML) and computational imaging methods to scientific and
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devices for processing uranium-bearing and stable isotope compounds. The Mechanical Systems Modeling Group applies first principles and empirical approaches to advance the physics and engineering
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physics, materials science, applied mathematics, computer science, or a related field, and no more than five years of experience beyond PhD. Preferred Qualifications: Background in quantum magnetism
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environmental conditions, and predicting photosynthesis at multiple scales. The selected postdoctoral scientist will work with a team of mathematicians, computational scientists, plant geneticists and
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critical to understanding target behavior during irradiation in the High Flux Isotope Reactor (HFIR). This could also involve development, validation, and deployment of new physical and analytical testing
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and predictive accuracy of analytical and computational tools used to characterize the dynamic performance of gas centrifuge rotors and their associated suspension systems. Purpose: ESED serves
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), Energy Science and Technology Directorate (ESTD), at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Develop physics-based computational models, including Finite Element Analysis (FEA
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Postdoctoral Research Associate in the areas Artificial Intelligence (AI) for Integrated Hydrology Modeling. The successful candidate will have a strong background in computational science, data analysis, and