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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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-geostrophic idealised model and use operational and bespoke Met Office model output for case study analysis. You will have : a PhD in atmospheric science, engineering, physics or mathematics (or a closely
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to join our team at the CRSA to develop AI models, specifically deep learning approaches, to analyze and predict key climate variables such as precipitation and temperature which are essential
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on the impact of fluorinated compounds on the atmosphere. The candidate will be required to carry out studies, write a report for the industrial contractor and, if necessary, write a scientific article. The
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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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Learning for Biomedical Data. The postholders will focus on developing and applying state-of-the-art generative models (such as VAEs, GANs, and transformer-based architectures) to large-scale biomedical
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to unravel the atmospheric importance of this interfacial chemistry by means of (i) laboratory-based investigations, (ii) field observations and (iii) modelling. These activities will take place in the frame
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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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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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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | 12 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