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Field
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Geospatial analysis, machine learning, and predictive modelling, Have a good command of programming tools such as R packages, Phyton, and other programming languages Publications in the field Excellent
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to compare theoretical predictions with experimental observations and measurements. - extend existing stochastic models and develop new models to understand actin dynamics in different contexts
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predictability and interaction with climate. Here we explore a new paradigm in which polar dynamics is typically dominated by vortices interacting across a broad range of scales, contrasting the dominance of wave
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
that collectively drive wildfire ignition and spread. This limitation results in predictive models with insufficient spatial resolution and temporal accuracy, hindering the ability of fire managers and public safety
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of the variability and uncertainty of simulated outputs • an explicit quantification of prediction error • an interpretable and controllable structure (e.g., Gaussian processes, …) 2. Model industrial system