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Job Description We are seeking a visionary researcher to lead the development of transformative global water and infrastructure datasets that underpin AI and process-based hydrologic models. You
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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water quality parameters and predict cyanobacteria blooms in the Tietê system reservoirs. Activities: 1. Develop machine learning models for estimating water quality parameters via remote sensing; 2
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 19 hours ago
understanding of land cover/ land use controls on inland aquatic and marine environment conditions * Constrain modeled outputs of water quality conditions in marine environments with in situ and remote sensing
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geometry in control theory, etc.) and in the field of education. Many phenomena observed in the ocean or atmosphere are still not understood. Using compressible or incompressible models, we will seek
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and Economic Development Boise State University invites applications for a Postdoctoral Research Fellow specializing in computational modeling and data science for water and energy resilience to join a
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crops and cropping system. Soil water and temperature will be monitored, above ground and below ground of crops will be measured. Crop yield and its quality will be analysed. These results will help
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an exciting project on membrane processes technology and small-scale testing for seawater desalination. He/she should demonstrate experience in membrane processes, water quality analysis, and lab and
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self-adaptation capabilities. Three major challenges have been identified: (P1) modelling uncertain environments where robust, weakly supervised machine learning algorithms can be deployed to irrigate
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Job Summary/Basic Function: The Postdoctoral Research Fellow will specialize in computational modeling and data science for water and energy resilience and join a transdisciplinary team as part of