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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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, weather simulations, environment studies, etc. Statistical modeling and data visualization Parallel software design with MPI, OpenMP, pthreads, or CUDA GPU computing environment Deep Learning, image
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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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