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Field
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of water-related technologies (irrigation, water supply and sanitation, desalination, demineralization, treatment, and recycling for water reuse) Climate modeling, Climate Change and Adaptation Forecasting
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the climate-sensitive pathogen Vibrio vulnificus, source of fulminant septicemia. Our goal is to gain the knowledge to a) effectively forecast the traits of emergent virulent strains, b) predict
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, forecasting, and decision support. The position is initially funded for 18 months, with the possibility of an extension depending on the availability of funding. Position will remain open until filled. Position
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the coupled physical process of GCS, such that we can efficiently forecast the spatial-temporal patterns of the subsurface response variables, e.g., pressure, saturation, minerals etc.; (2) integrate
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analytics. Flood forecasting and warning systems. Mentoring Assist, mentor, and/or supervise student researchers and/or graduate students who are working on related research or project efforts. Presentations
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 18 days ago
forecasting within the GEOS models developed by the Global Modeling Assimilation Office (GMAO). S2S-V3 is informed by changes in atmospheric aerosols from wildfires, but the potential deposition of dust over
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and energy systems simulations, and scenario forecasting-to evaluate dynamic energy-water futures and resilience strategies for diverse Idaho communities. Job Summary/Basic Function: The Postdoctoral
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human judgment and search information data, to improve forecasting. McAndrew has a long history of mathematical modeling of several pathogens (HPV, SARS-CoV-2, Mpox, influenza). Dr. String studies how and
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involved in other collaborative research projects between Coley’s Conceptual Organization, Reasoning, and Education Laboratory (CORE Lab) and Helmuth’s Marine Ecological Forecasting, Ecophysiology, and
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methods with optimization and decision-support models. Background in one or more of the following: time-series analysis, neural networks, forecasting, uncertainty quantification, sensitivity analysis