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. Strong knowledge of coherent imaging, light modulation, Fourier-domain signal processing, X-ray physics, etc. Proficiency in Python or other scientific programming languages. Programming skills in
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. Knowledge of C/C++ language and parallel programming with MPI. Background in modeling of engineering systems. Familiarity with high performance computing (HPC) software platforms is a plus. Skills in using
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, safety, respect, integrity, and teamwork. Preferred Knowledge, Skills, and Experience Basic knowledge of a programming language. Experience with surface science sample preparation techniques. Experience
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Julia, Python, R, or other scientific programming languages. Experience developing software packages, tools, and data sets for public use. Ability to synthesize effective data visualizations
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and energy conversion systems. Knowledge of computational techniques and numerical methods. Knowledge of computer simulation and data analysis. Knowledge of C/C++ language and parallel programming with
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and machine learning techniques in analyzing supply chain risk. Ability to develop and synthesize visualizations to effectively communicate analysis results. Strong programming skills in statistical
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with modern scientific programming languages like Python and Julia. Ability to integrate diverse knowledge, methods, and perspectives to drive analysis and innovation. Ability to lead research projects