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Implementing Bayesian networks and uncertainty quantification techniques to account for sensor noise and model confidence limits Designing, training, and fine-tuning computer vision models to extract clinically
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configurations. The software can assimilate large datasets and perform adjoint computations, inverse modeling, and uncertainty quantification. It has enabled breakthrough scientific discoveries and supported
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and biogeochemical processes on time scales of days to years. A critical component of this research includes determining uncertainties of these ocean remote sensing data products and derived geophysical
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