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, physics, artificial intelligence, machine learning, topological data analysis, and statistics. We are interested in analyzing big data of complex systems such as DNA, RNA, biological networks, social
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: Prior experience with analysis of observational remote sensing data sets and/or numerical model output related to cloud properties is desirable. Strong computational skills, and ideally experience with
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of groundwater drought. Key focus is analysis of time series, including climate and groundwater level observations, whereas physically-based groundwater modelling is the task of other project partners. Our role is
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in the following areas: Deep Learning, Scientific Machine Learning, Stochastjc Gradiant Descent Method, and Numerical PDE’s - Advised by Dr. Yanzhao Cao Probabilistic Graph Theory (Network Traversal
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system Fluent oral and written communication skills in English and ideally also a Scandinavian language. Desired qualifications: Prior experience with analysis of observational remote sensing data sets and
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understand, explore and impact our world and humanity, within a truly comprehensive Faculty of Science. We have more than 150 years of experience in pioneering scientific thinking and analysis, leading
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Postdoctoral Fellowship in Meteorology- Numerical Simulation Studies of Tornadoes University of Oklahoma Norman Campus: Atmospheric and Geographic Sciences: School of Meteorology Location School
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and analysis, and leading writing of peer-reviewed papers based on the results. The fellow is expected to contribute substantially to the intellectual development of the work and will work closely with