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The Department of geosciences and natural resource management offers a 19-month Postdoctoral position in the field of Deep Learning and Remote Sensing, with a specific focus on developing, training
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of cutting-edge remote sensing observations and process-based models to study terrestrial and coastal ecosystems that are under increasing threat from a range of factors including wildfire and other
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Join and help us to derive global forest biomass data from the European Space Agency’s Biomass satellite mission. If you have interests in remote sensing, machine learning and forests, this is the
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the field to inform farmers of varying soil conditions through traditional remote sensing techniques. For further Information, please email p.stowell@sheffield.ac.uk or look at the University’s website: https
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Systems Modeler & Remote Sensing Specialist) Job Class Code HA02 A/B/C, HA03 A/B/C Appointment Status Full-time Part-time FTE Limited Term Yes Limited Term Length 1 year; continuation contingent upon
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. Description: Participant will develop integrated photonics technology for space-based remote sensing applications. Integrated photonics is used for light creation, manipulation, processing and detection in a
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or orbital remote sensing. Individuals who apply remote sensing techniques to the study of ongoing tectonic processes such as earthquakes, volcanoes, and associated hazards on societally relevant timescales
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of the position is to monitor the conditions of crop, pasture, and their growth environment to support agricultural decision making with advanced remote sensing and geospatial technologies. Responsibilities
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that utilize remote sensing, environmental data and modeling to derive products needed in program areas. MINIMUM REQUIREMENTS: Minimum Education Required: Bachelor’s degree in Forestry, Geography, Mathematics
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of Climate and Environmental Remote Sensing TU Wien is offering a position as senior scientist (all genders) for 40 hours/week. Expected start: April 2026. All details can be found in the online job exchange