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: Strong programming experience in Python and/or R is expected. Experience with Linux/HPC environments, workflow development, statistical modeling, machine learning, and reproducible computational
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chalcogenide, two-dimensional, and/or III-V semiconductor materials is preferred. Programming experience in Python or experience with machine automation or AI/ML workflows will be an advantage
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experience in computational fluid dynamics and turbulence modeling Knowledge of compressible/high-speed flow physics and numerical methods Experience with scientific programming and high-performance computing
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related field, completed by the start date Strong research and programming background Demonstrated ability to conduct independent research Strong scholarly publication record Strong written and oral
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tomography and deep learning for medical imaging is desirable. Candidates should demonstrate strong problem-solving, scientific programming, scientific writing, communication, and teamwork skills. The