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Field
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Strategies Integrated coastal zone management (ICZM) Water information, knowledge and decision systems Forecasting and Warning Systems Environmental Considerations and Sustainable Development Job description
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AI modeling and differentiable modeling (a genre of physics-informed machine learning) for hydrologic modeling to improve large-scale hydrologic forecast. The scholar will work with a large
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; sectoral and policy analysis using agricultural market models (e.g., AGMEMOD, CAPRI) to assess climate and CAP-related policies; economic policy assessment and forecasting using CGE and related modelling
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this context, energy sector organizations are turning to AI to forecast, balance, and manage critical infrastructure, while also responding to new regulatory frameworks such as the EU AI Act. ORBIT examines how
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to such project. The position also comes some teaching obligations. Job description SUNRISE (Extreme Events In A Warming, Unequal World: Linking Drivers To Impacts For Improved Attribution, Forecasting And Regional
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, Droughts, and Desertification Water-Related Hazards Climate Change and Adaptation Strategies Integrated coastal zone management (ICZM) Water information, knowledge and decision systems Forecasting and
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are looking for an engaged, enthusiastic, and curious person who is passionate about understanding, forecasting, and mitigating the impacts of climate change on biodiversity. We particularly welcome researchers
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) with a particular focus on event forecasting, predictive maintenance, and corrective actions. The role would encompass working on forecasting, predictive, and text generation algorithms with Large
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 18 days ago
) instruments into the GEOS model for its near-real-time aerosol forecast known as the GEOS Forward Processing (GEOS-FP) system as well as in its various reanalysis systems (e.g. Modern-Era Retrospective Analysis
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domain-specific foundation models that support tasks such as forecasting, interpolation/extrapolation, downscaling, and “what-if” scenario analysis relevant to climate-related health risks and adaptation