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with procurement related AI tools will be an added advantage - Strong business process and analytical skills with the ability to assimilate information quickly and communicate complex requirements and
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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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immigration rules but is dependent on factors specific to the candidate and if tradeable points can be used under the rules. Information on other visa options is available at https://www.gov.uk/check-uk-visa
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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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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 4 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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. 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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, retrieval models informed by routinely available remote sensing data in the visible-near infrared spectrum, or more complex land surface models which assimilate those data. However, biophysical variables
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knowledge in both national and international current events, including an understanding of the potential impact on security and the affected business. Ability to quickly assimilate new information
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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
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, Climate Science or a related field. Experience in earth system modeling, data assimilation, and remote sensing of land surface variables. Experience with parallel computing on high performance cluster