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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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-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
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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
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-reviewed literature. 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
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other process modeling tools. https://agilebiofoundry.org/ https://bioesep.org/ The successful candidate will be able to: • assimilate a wide variety of information into assessments • contribute
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Detail Information Position Summary As a Postdoctoral Associate in the Department of Earth Sciences , this position will support an investigation entitled “Toward ice sheet surface data assimilation
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
to develop hybrid models for sea ice that combine coupled climate models and machine learning. Our previous work has demonstrated that neural networks can skillfully predict sea ice data assimilation