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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
learning. Our previous work has demonstrated that neural networks can skillfully predict sea ice data assimilation increments, which represent structural model errors (https://doi.org/10.1029/2023MS003757
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manuscripts (including figures and tables) and publish in peer-reviewed literature. Read literature articles, develop new ideas, and assimilate the information for use in the project. Dissemination of studies
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 2 hours 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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Postdoctoral researcher (f_m_x) - Waves in the Inner-magnetosphere and their Effects on Radiation...
of the adverse effects of the space environment utilizing satellite observations, physics-based numerical models, machine learning, and data assimilation. Our research will help safely design and operate
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, and assimilate the information into his/her project design/interpretation. Dissemination of studies: Interact on a regular basis with their PI, faculty mentor and members of the laboratory to discuss
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) laboratory 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
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, 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/her
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. Read literature articles, develop new ideas, and assimilate the information into his/her project design/interpretation. Dissemination of studies: Interact on a regular basis with their PI, faculty mentor
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 3 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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-reconstructions and observations, low-order data assimilation, or deep neural networks. A quantification of the impact of mesoscale and submesocale features is also expected. At a later stage, the successful