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Field
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at international conferences. Your profile PhD (degree or almost completed) in Physics, Applied Mathematics, Complex System or a related field. Strong background in mathematical modeling, machine learning
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focus on developing methods/tools that use multi-source remotely sensed data. The research aims to improve our understanding of the integrated functioning of continental surfaces and their interaction
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As part of the UKRI funded Glaciers and Ice Sheets in a Warming World project, we have an exciting opportunity for a postdoctoral researcher who has specific expertise in satellite remote sensing
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Information Science (GISc) — particularly in movement analysis — with teaching and student supervision? Have you recently earned a PhD in GISc and feel inspired to share your expertise with the next generation while
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fertility management and remote sensing research experts who seek to develop precise fertilizer recommendations and regenerative cropping systems in arid-saline conditions of Morocco. We seek a highly
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architectures to solve data-driven sensing and control problems related to turbulent atmospheric flows. The work will center around investigation of reinforcement learning and convolutional neural networks
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future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
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Join us at the Department of Electrical and Computer Engineering at Aarhus University for a postdoctoral position focused on deep learning based analysis of remote sensing data for groundwater
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 2 months ago
consider one or multiple subtopics that our group is particular interested in and invests on: (1) ice microphysics remote sensing from infrared to microwave spectra (TIR, FIR, sub-mm, MW); (2) cloud
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remote sensing. Contribute to ongoing projects with respect to participation in already planned field work and data analysis (e.g., CASA, KUMO, BUMUS) and lead new initiatives. Lead the setup, deployment