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precipitation, temperature, and soil moisture by leveraging large multi-source datasets from remote sensing, IoT sensors, and climate models. Design and implement deep learning models for forecasting extreme
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to seek an optimal integration between the physical representations of the various processes and the computing power of the AI algorithms. Key duties Develop a robust framework to simulate streamflow
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. The applicant will also need to implement and manage high-tower sites to model GHG flows in native forests and agricultural fields. The applicant must have a good understanding about sensors, satellites, drones
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