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collaborate closely with CCMA faculty on cutting-edge research projects involving design, analysis and implementation of advanced numerical methods and algorithms in interdisciplinary applications. The position
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research potential. Candidates will be considered with background in the areas of hyperbolic PDEs and optimization problems. Expertise in numerical simulations (with Matlab or Python) will be valued
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Ph.D. and have exceptional research potential. Teaching may be required. Qualified candidates are expected to have a background in scientific machine learning, numerical analysis, and dynamical systems
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