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field. This approach is related to data assimilation, allowing for better prediction, control, and optimisation of turbulent systems in engineering, energy, and environmental applications
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 month ago
distribution on a global scale. This project will focus on developing a strategy to best utilize this data in a global atmospheric data assimilation framework. Activities that would be involved in this project
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 7 hours ago
, identify physically consistent constraints, and recommend data assimilation configurations tailored to specific scientific objectives. All AI modules will be designed within a physics-constrained framework
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learning, data assimilation, and high-performance computation, with the constraints from the satellites observations and in-situ measurements; publish research output in academic journals and conferences
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require development of advanced experimental and data analysis skills and will work closely with the Doctoral candidate working in Cambridge on data assimilation (https://www.imft.fr/dc10-arterial
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related tasks that are standard or regular support duties within an assigned department or program and for researching financial data and preparing reports. The position is governed by Generally Accepted
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of samples in the laboratory, and data processing and assimilation. You will be both in laboratory and field settings. Collaborate under the guidance of USDA-ARS researchers, including scientists and field
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a Windows networking and support background. Has the ability to multitask, prioritize, and think analytically. Must be able to assimilate information coming through multiple channels. Excellent
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collaborative atmosphere. Please visit our website https://jobs.aston.ac.uk/Vacancies.aspx for further information and to apply online. As users of the disability confident scheme, we guarantee to interview all
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biochemical models, data assimilation, spatial analysis and GIS approaches. • Programing skills (e.g. R or Python) for data manipulation and visualisation, and to perform statistical analysis (e.g. mixed models