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. Conducts literature reviews and applies current advances in morphodynamic modeling and optimization theory. Co-mentors students or junior researchers in numerical modeling and data analysis techniques
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of linear algebra and numerical optimization Understanding of statistical modeling and inverse problems is desirable Experience with programming languages like Python, MATLAB, or C++ Joy in dealing with
Searches related to numerical optimization
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