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of Earth and Environmental Science (MGeo), Lund University, seeks to appoint a post-doctoral fellows to work on the quantification of boreal CH4 wetlands emissions based on assimilating relevant
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Description The overarching mission is to conduct research combining machine learning, data assimilation, and physical modeling to enhance short-term (days/weeks) forecasts of Arctic sea ice conditions. The
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 3 hours ago
smoldering. This project will focus on utilizing these fire products in a global atmospheric data assimilation framework. Activities that would be involved in this project include (but are not limited
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 2 months ago
. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). The Goddard Earth Observing System (GEOS), developed by NASA’s Global Modeling and Assimilation Office
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 2 months ago
. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). The Goddard Earth Observing System (GEOS) global 4D hybrid Ensemble-Variational (EnVar) data assimilation
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into the FEST-EWB model using data assimilation techniques. The estimates will be validated through comparisons with ground soil moisture and evapotranspiration measurements, information from Irrigation Consortia
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+ Certification, CompTIA Security+ Certification, Microsoft Certified Solutions Associate (MCSA) Previous working experience as a Service Desk Agent for 2 year(s) Demonstrated experience assimilating complex
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development work could focus on moving towards hyper-resolution land surface representations, assimilation or observations, or downscaling and improvement of forcing data. Location: Jet Propulsion Laboratory
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regard to their ability to assimilate the education. In addition, access to competencies among those at the Faculty who can supervise the doctoral student are taken into account. The ability to assimilate
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modelling, data assimilation, and multi-scale neural network architectures applied to spatio-temporal data. The development of these methods is motivated by a concrete and important application: inferring gas