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scientific programming (e.g., Python, C++, Julia, Fortran) and familiarity with parallel computing. Strong record of publications and scientific presentations. Preferred: Experience with machine learning
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are: Learn by independent study, reading textbooks and research papers, and online training materials about problem domains in which work is needed. Design, program, document, debug, test, deploy, and maintain
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data analysis and visualization. The faculty member’s research program is expected to develop and incorporate novel algorithms and frameworks, such as deep learning, parallel and distributed computing
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