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computational processes, improving prediction accuracy, and enabling the creation of extensive model ensembles at a reduced cost. In this context, we are looking for a highly motivated postdoctoral researcher
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combined with modeling experiments or enhanced research in parameterization, AI is accelerating computational processes, improving prediction accuracy, and enabling the creation of extensive model ensembles
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. Moreover, the successful candidate will also need to develop a system to estimate the uncertainty of the predictions. Potential solutions could include ensemble generation, a combination of EOF
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | about 2 months ago
. Comparisons will be made with theoretical predictions of cloud generation/dissipation and with models of cloud radiative properties such as cloud albedo, bidirectional reflectance, and emissivity. Simulation
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modeling, AI-driven simulations, optical remote sensing and biogeochemical modeling to predict seagrass distribution under various climate and nutrient scenarios. SEAGUARD aims to provide science-based