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related tasks that are standard or regular support duties within an assigned department or program and for researching financial data and preparing reports. The position is governed by Generally Accepted
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a Windows networking and support background. Has the ability to multitask, prioritize, and think analytically. Must be able to assimilate information coming through multiple channels. Excellent
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 month ago
distribution on a global scale. This project will focus on developing a strategy to best utilize this data in a global atmospheric data assimilation framework. Activities that would be involved in this project
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innovative tools combining high-fidelity simulations based on a Lattice Boltzmann Method (LBM) CFD code with advanced data assimilation techniques, notably the Ensemble Kalman Filter (EnKF). By integrating
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 5 hours ago
marine planktonic ecosystems. For example, the 2019-2020 Australian wildfires triggered widespread phytoplankton blooms, evidenced in chlorophyll data obtained from satellite remote sensing and in situ
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of Community Multiscale Air Quality program (CMAQ), Sparse Matrix Operator Kerner Emissions program (SMOKE), Data Assimilation, Surrogate Tools, and other modeling skillsets. Instructions to Applicants: For full
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 5 hours ago
process models often lack the spatially explicit, high-frequency data needed to accurately simulate these rapidly changing dynamics and their cascading effects on vegetation health, carbon cycling, and
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modelling techniques and the embedding of such models within data assimilation frameworks to enable their self-correction. During this project, you will develop expertise in machine learning-based reduced
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. Skills: Applicants should have a strong foundation in the practice of clinical veterinary medicine; the ability to utilize and assimilate available clinical information to make decisions regarding patient
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estimation, causal discovery, and concept-based explanation techniques Integration of causal and XAI methods into machine learning pipelines within the CRC 1294 “Data Assimilation” Implementation, evaluation