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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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Professor Alberto Bressan in the areas of hyperbolic conservation laws and geometric optimization problems. These include: well-posedness, convergence and error estimates for approximate solutions, analysis
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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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