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Job Summary We are looking for an enthusiastic postdoctoral scholar specializing in coastal and estuarine modeling to join our team at the Water School at Florida Gulf Coast University. The selected
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design, modeling, mapping, coastal planning and management, or related activities. Demonstrated understanding of interactions between the built environment, coastal processes, and natural environments
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influences within Florida's coastal watersheds. Your work will involve integrating GIS mapping, water quality modeling, and environmental data to assess hydrology and water quality dynamics. This position
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 6 hours ago
modelling of trace gas emissions are also considered a strength. We encourage research proposals to explore questions around the use of plume imaging technology to geolocate and quantify natural emissions
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Minimum Education and Experience: Applicants must have a Ph.D. in Civil and Environmental Engineering, Industrial Engineering, Coastal Marine Science, Computer Science, Electrical Engineering, or a closely
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will develop advanced modeling capabilities to quantify and predict the responses of coastal ecosystems to disturbances caused by flooding and SLR. Ultimately, this effort will inform the development
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resources, a real-time coastal processes numerical modeling framework, and data management and dissemination infrastructure. Job Duties The postdoctoral scholar is responsible for independent and
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Intelligence (AI) approaches to quality control of coastal water level observations in a robust and time efficient way. The position is for one year, and it is renewable for an additional 9 months based
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ability to analyze large datasets Knowledge of coastal and nearshore processes Preferred Qualifications: Proficiency in statistical modeling and time series analysis Experience with machine learning or deep
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impacts humid heat stress across Mediterranean coastal cities over two decades. Optional Research Opportunity: Utilize social media data and natural language models to analyze the geography of outdoor