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. Work will emphasize the development and analysis of advanced methods in areas such as sparse signal recovery, compressed sensing, and statistical estimation, with a particular focus on their role in
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learning emulators to represent forward operators for fire observations for atmospheric data assimilation Implement ensemble methods in the fire emissions estimation and estimate uncertainties Utilize
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 month ago
learning emulators to represent forward operators for fire observations for atmospheric data assimilation Implement ensemble methods in the fire emissions estimation and estimate uncertainties Utilize
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, oscillation, response-time, and evidence-accumulation phenomena. Implement simulation, parameter-estimation, and model-comparison methods in Python, MATLAB , R, or related computational environments
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at the sponsor's facility. Responsibilities* - Evaluate and benchmark vision-language models for adaptive robotic perception in industrial applications - Develop robust perception methods for object
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Postdoctoral Associate Postdoc Associate: Acoustic Abundance Estimation for eBird Integration Cornell Lab of Ornithology College of Agriculture & Life Sciences Cornell University Ithaca NY
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estimation methods (e.g., multiple imputation, FIML) and sensitivity analyses · Conduct apriori and post hoc power analyses · Communicate the findings of the above research in oral (e.g., conference
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distribution analysis, sampling techniques, hypothesis testing, and methods of interval estimation. Provide guidance for evidence-based institutional change. Manage personnel and budgets in a complex, multi
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online learning methods deployed in converters/drives so that fleets of motor applications (e.g., pumps, fans, compressors) can self-quantify and aggregate flexibility for grid services with formal
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Air Quality Environmental Science and Technology Consortium) project, supporting the operation, evaluation, and development of AIRPACT (https://airpact.wsu.edu/), the regional air quality forecast