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of remote sensing application to quantify carbon sequestration is desirable Proficiency in written and spoken English Where to apply Website https://www.timeshighereducation.com/unijobs/listing/404286/asari
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to support the management of forest resources and ecosystems. The PhD candidate will focus on integration of the extensive amount of data collected by forest machines with remote sensing data to further
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on remote sensing of air quality. Emphasis will be placed on using satellite observations to understand the impacts of wildfires and prescribed burning on air quality. The candidatemust have a Ph.D. in a
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plumes, surface temperatures, and calving events by combining ground-truth measurements with remote-sensing data. A new Earth-observing CubeSat mission, DISCO2, will launch in 2025 into a sun-synchronous
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) GEOL1051-1 Geological imaging and remote sensing (5 ECTS) The candidate (M/F/X) may also propose to develop courses based on their specific expertise and research. The candidate (M/F/X) will also participate
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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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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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hazards and assessing their risk for the society. At the same time, they are fully qualified users of remote sensing, GIS and statistictical software techniques that can be applied to geoscience and
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experimental and observational studies (e.g. using field, lab, remote sensing data) along environmental gradients to increase understanding of how different types of forest management (e.g. continuous cover
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characterize the spatio-temporal contexts that favor crises. • Development of advanced predictive models (multivariate approaches, machine learning) combining event data, snow and weather data, and remote