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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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, separations, stabilization, and advanced therapeutic or diagnostic applications. The successful candidate will contribute to multidisciplinary efforts at the interface of chemistry, nanomaterials, nuclear
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(ORNL). As a postdoctoral fellow, you will produce publishable results at a steady pace and work at the interface of neutron imaging, computational modeling, and workflow automation. Applicants with
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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
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Program (DOE IP) to advance the chemical processing of unique f-element isotopes, including Cf-252, Bk-249, Es-254, Fm-257, and Pm-147. A core focus of the DOE IP is to improve and develop novel chemical
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Requisition Id 15602 Overview: The National Center for Computational Sciences (NCCS) at the Oak Ridge National Laboratory (ORNL) is seeking a postdoctoral research associate in the area of
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interfaces in quantum materials or energy materials. Advanced electron microscopy capabilities, such as 4D-STEM and high-resolution electron energy-loss spectroscopy (EELS), will be integrated with in situ
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), Neutron Sciences Directorate at Oak Ridge National Laboratory (ORNL). As part of the team, you will carry out in-situ studies of droplet interface bilayers (DIBs) using fluorescence microscopy techniques
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post-doctoral research associate to simulate amorphous materials and crystallization reactions using atomic-scale simulations. As a post-doc, you will utilize high performance computing and rare event