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and learned surrogates with clear statistical validation; Bayesian inverse problems and data assimilation via measure transport and amortized inference; robustness and distribution shift in scientific
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computing, data pipelining, applied statistics, robotics, Bayesian estimation, SLAM Applicant must have a dynamic skill set, be willing to work with new technologies, be highly organized and capable
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