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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 | about 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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of process-based models and data assimilation techniques. Excellent skills in data visualization and communication. Preferred Experience in large-scale ecosystem modeling or GHG inventory analysis. Experience
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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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methanotrophic bacteria to maximize carbon assimilation and conversion. We seek applicants with broad knowledge of molecular and synthetic biology tools and techniques. Minimum Qualifications Ph.D. in Microbiology
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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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, implement, and evaluate computational models that assimilate 2-photon data (60%) Use a computer programming language to create novel neural network simulations (models) that include realistic simulations
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. The successful candidate will be able to: • assimilate a wide variety of information into assessments • contribute to the planning and execution of research and analysis
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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