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to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a
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, and assimilate the information into their project design/interpretation. Dissemination of studies: Interact on a regular basis with their faculty mentor and members of the laboratory to discuss
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 2 months ago
. Applications to consider extreme events such as floods, droughts, and wildfires are also encouraged. Research topics related to remote sensing data include surface data-assimilation, land surface model and
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to account for uncertainties. Use data assimilation techniques to combine observational data with AI models, improving real time forecasting accuracy. Collaborate with hydrologists, climatologists, and data
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resources and warming climate. The ideal candidate will have highly developed skills in any of the following areas: hydrologic and/or water resources modeling, data science and machine learning with strong
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substrate range and deeply rewired metabolism, enabling efficient substrate assimilation for sustainable production of chemicals from one-carbon (C1) substrates. You will combine adaptive laboratory evolution
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notebook, prepare publication-quality manuscripts (including figures and tables) and publish in peer-reviewed literature. Read literature articles, develop new ideas, and assimilate the information into his
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 2 months ago
, modeling and data assimilation, and developing digital twin technologies. Candidates can expect to work with collaborative and dynamic environment that includes fundamental and applied research performed
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weather events such as floods, droughts, and heatwaves, integrating probabilistic approaches to account for uncertainties. Use data assimilation techniques to combine observational data with AI models
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, develop new ideas, and assimilate the information into his/her project design/interpretation. Dissemination of studies: Interact on a regular basis with their faculty mentor and members of the laboratory