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Field
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areas: Generative AI Agentic AI Graph Representation Learning and Modeling Foundation Models Large Language Models Multimodal Learning Forecasting Models Basic Qualifications A Ph.D. or equivalent degree
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 3 months 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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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 3 months ago
system, hyperspectral infrared satellite radiance data have been used extensively and they have proved significant impact on reducing model forecast errors and constraining atmospheric states. This NPP
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of Engineering, at the University of Texas at Arlington, invites applications for a Post Doctoral Research Associate who will be working in the areas of improving forecasts of weather, climate and snowpack, and
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, AI-enhanced forecasting, optimization, or simulation-based analysis • Building and scaling cloud-based activity-based mobility analytics systems (AWS/Azure/GCP) for large multi-city datasets
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for physical and natural sciences, e.g., physics, chemistry, material science, weather forecast, biology, neuroscience, etc. Interestingly, these domains are characterized by the availability of huge amount
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analytical outputs, including reports, forecasts and policy-relevant insights. You will also share findings through peer-reviewed publications, workshops, conferences and policy briefings, helping to inform
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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
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data, to improve forecasting. McAndrew has a long history of mathematical modeling of several pathogens (HPV, SARS-CoV-2, Mpox, influenza). Position Number: S65550 Anticipated Salary: $70,000
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on the candidate’s background, but may include: Developing new transportation modeling methods, including dynamic traffic assignment, AI-enhanced forecasting, optimization, or simulation-based analysis Building and