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physics knowledge into DL model design and training, these models outperform traditional methods even without labeled training data (https://www.nature.com/articles/s41524-022-00803-w ). Application spaces
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geometry manipulation with computer-aided design software. Experience with coupling CFD and FEA codes. Knowledge of multi-dimensional code development (in C++/C/Fortran) for two-phase/multiphase flow and
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with computer-aided design software. Knowledge of deep machine learning (using TensorFlow, PyTorch, etc.) for multi-fidelity modeling, regression tasks, management and analysis of large datasets, and
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. The postdoctoral appointee will join a dynamic, multidisciplinary, and multi-institutional team. The postdoctoral appointee is expected to aid in the design, analysis, and interpretation of experiments as
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impact of multiple environmental conditions. Participate in experiments at Department of Energy (DOE) national user synchrotron facilities. Participate in interdisciplinary discussions aimed at the design
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focus on further advancing the ATTA technique. The Physics Division has an active and broad-ranging program at the intersection of nuclear and atomic physics including a strong focus on fundamental
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and reports describing results of development work, analyses, and investigations. Position Requirements Knowledge of nuclear engineering principles, theories, and practices for the design and analysis
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Advanced Grid Modeling-Planning, Operations, & Controls group at Argonne National Laboratory's Center for Energy, Environmental, and Economic Systems Analysis is seeking a Postdoctoral Researcher
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systems is essential Ability to program in C++ and Python languages would be an asset Considerable skill in written and oral communication is a requirement Ability to model Argonne’s Core Values: Impact