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software that allow time-evolving models of complex systems to be calibrated against sparse, indirect, and uncertain observations. The group develops and maintains an open-source Python framework
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computing. You will join a collaborative team that values technical excellence, innovation, service, and shared success. We encourage new ideas, knowledge sharing, and different perspectives, and we
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computing runtime with application and compilers to efficiently integrate quantum processors with HPC resources. The research will explore different quantum computing modalities, their architectural
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., difference-in-differences). Contributions to reports, presentations, and peer-reviewed journal articles. Collaborate with ORNL scientists involved in these efforts, to gain expertise in the economic analysis
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clear conclusions. An understanding of RF sensing theory. Proficiency in RF collection system design, assembly, and deployment. Proficiency in Python, MATLAB, or equivalent software programming language
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, OpenMC, and/or MOOSE and familiarity with reactor systems and concepts. Programming/scripting experience including the use of one or more of C/C++, Python, Fortran, Git, and CMake an asset. Demonstrated
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++, Python, Fortran, Git, and CMake an asset. Demonstrated writing and communication skills and ability to publish. Preferred Qualifications: Experience with Multiphysics software and simulations an asset
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, MCNP, Serpent, OpenMC, and/or MOOSE and familiarity with reactor systems and concepts. Programming/scripting experience including the use of one or more of C/C++, Python, Fortran, Git, and CMake an asset
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for the collection of in-situ mechanical testing data. Knowledge of scientific software in python (numpy, scipy, pandas) or related data analysis suite. Record of productive and creative research as demonstrated by
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. Experience developing software for scientific computing, data analysis, or machine learning applications. Proficiency in Python and common scientific computing and machine learning libraries. Strong written