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fully remote. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/404921/research-culture-an… Requirements Additional Information Work Location(s) Number of offers
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in international research visits if needed. We are looking for a highly motivated researcher with: A PhD in machine learning, computer vision, remote sensing, glaciology, climate science, or a related
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and Remote Sensing, Transport & Planning, Hydraulic Engineering and Water Management. Click here to go to the website of the Faculty of Civil Engineering & Geosciences. Conditions of employment
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optimization. Knowledge in algorithms for sampling/variational inference and kernel methods will also be welcome. Interest or experience in differential geometry, optimal transport, and remote sensing
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") team of the laboratory. Supervisory Team: The project is supervised by Malgorzata Chmiel (Géoazur, CNRS) and Jean-Paul Ampuero (Géoazur, IRD). The PhD student will work in close collaboration with Margot
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observational data, such as remote sensing measurements of precipitation and soil moisture, as well as ground-based measurements; Experience with AI weather models. These positions are benefits-eligible, and
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sensing-based methods for observing the Earth and analysis of geographic information are significant subject components. Work duties The PhD position is to work within the project “Impact of extreme weather
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that shape our 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
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or greenhouse gases; for their observations, the Institute uses infrared remote sensing from space and from the ground, as well as in-situ observations at or near the surface. The development of inverse models
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. The individual will be expected to contribute to scholarly publications and grant proposals, and prepare research reports. Individual can work remote from within the US, however there will be 1-3 trips