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Field
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this phenomenon remain to be fully elucidated. The post-doctoral project will focus on the physics of air–mucus interactions in the bronchi during coughing, i.e., under high-velocity airflow conditions. The fellow
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cycle in regional and global chemistry-transport and climate models, and for improving the ability of remote sensing to detect and characterize source areas and atmospheric particles. The OPENDUST project
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model improvements in simulating Moroccan and North African climate. Carry out evaluation of the model outputs and prospect possible changes to improve water cycle modeling, including precipitation
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in-house atmospheric chemistry transport model (MONARCH) to constraint and improve our emission modelling approaches, as well as of providing support for the use and application of the emission tools
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, Physics, or a closely related field. Experience in cloud and atmospheric boundary layer observations, modeling, and data analysis, or in Raman and Doppler lidar system development. Strong software
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Requisition Id 15305 Overview: The Computational Hydrology and Atmospheric Science (CHAS) Group at Oak Ridge National Laboratory (ORNL) is seeking a highly motivated Postdoctoral Research Associate
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | 26 days ago
information (in situ and remotely-sensed observations as well as climate and weather model output) to enhance decision support across a range of impact sectors and applications (in particular related
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. * Design numerical simulations of 2-D dike propagation coupling viscous flow and fracturing of elastic host rocks, building on existing frameworks for modeling hydrofractures. * Implement boundary conditions
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-time academic or research career. The individual will work primarily on the Duke Predictive Model of Adolescent Mental Health (Duke-PMA) study, a multi-site NIH-funded project that leverages artificial
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a new generation of African Atmospheric Scientists and faculty members. Research endeavors primarily focus on experimental and Modelling aspects. A notable characteristic of the Centre’s research is