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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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, particularly Python; (ii) use of parameter optimization algorithms, particularly PEST and PEST++; (iii) remote sensing applied to the water cycle; and (iv) application of machine learning techniques to spatio
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/Biology Description: The Department is looking for a PhD student within the area of remote sensing of forest. Using remote sensing the PhD student will develop methods to quantify fire severity and analyze
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, localization, and remote sensing. Duties We like to welcome an enthusiastic and adaptable PhD candidate to join our interdisciplinary research group related to innovative methodologies for fast and low-cost
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communities via numerous employee resource groups (staff organizations). Our goal is for everyone on the Berkeley campus to feel supported and equipped to realize their full potential. We actively support this
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-global) predictions of erosion patterns. In addition, the generation of new data, for example through remote sensing of suspended sediment, is encouraged and offers exciting research opportunities. The 41
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cutting-edge methods, models and technologies in environmental science, quaternary sciences, bedrock geology, paleontology, physical geography, biodiversity and ecosystem science, remote sensing, Geographic
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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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the Eurasian Basin, between Fram Strait and the North Pole, as well as including the adjacent continental slopes. Pan-Arctic perspectives will be ensured through remote sensing, research on broader
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have a relevant Master's degree in electronics, RF communications, remote sensing/radar, signal processing, aerospace or equivalent. Your course of study must correspond to a five-year Norwegian course