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massively parallel computing systems, including GPU-accelerated platforms. Develop and maintain scientific software, primarily in Python , using modern practices for software development, testing
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setup, and restart logic. Demonstrated expertise with the Linux operating system, bash scripting, Git, Python, and reproducible software environments. Demonstrated expertise in writing advanced
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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 for
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theory. Strong analytic mathematical skills. Experience in multiple scientific programming languages (Python, Julia, Fortran, C++, AI etc.) Excellent written and oral communication skills. Motivated
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experimental gas flow systems and gas analysis methods Computational or process modeling using tools such as Python, MATLAB, Aspen, COMSOL, Fluent, or OpenFOAM Experience with high performance computing
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languages such as Python, Julia, R, Fortran, or C/C++. Evidence of scholarly productivity, including peer-reviewed publications and conference presentations. Excellent written and oral communication
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predictive analysis. Expereince with the Python programming language. Ability to work within a multi-disciplinary team environment on scientifically challenging problems. Demonstrated ability to communicate
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, EBSD, and X-ray CT Interest in working at the intersection of material science, advanced manufacturing, and digital manufacturing Programming skills using Python or modern C/C++/C# Demonstrated
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DL frameworks, programming in Python (preferred), NLP packages and pipelines, usage and understanding of basic Machine Learning algorithms and tools. Solid record of productive research demonstrated
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modeling, plasma physics, and edge/scrape-off layer transport. Demonstrated programming ability and knowledge of Python and/or C++. Experience with deep learning frameworks like PyTorch and application