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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
Institute, School of Geography and the Environment, University of Oxford. The post holder will have responsibility for developing research on the ecology, climate change and remote sensing of tropical forests
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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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, digital twin, geospatial mapping with vehicle and UAV mounted remote sensing systems or robotic systems, crowd simulation, reinforced learning, flood modeling and impact analysis, complex system modeling
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 hours ago
or willing to learn geospatial analysis. Self-motivated Willing to pursue research objectives stated in the projects’ descriptions. Quantitively minded A background in Oceanography, Remote Sensing, Meteorology
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at the Laboratory of Geo-information Science and Remote Sensing, Wageningen University. Dr. Jiayan Zhao brings expertise in interface design, data visualization, and user experience evaluation in virtual environments
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-analysis of the relationship of hydraulic conductivity and vegetation cover. Data analysis and publication writing. Using remote sensing to evaluate cover conditions on rangelands. Other duties as required
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Postdoctoral Researcher Position in Climate Change Adaptation Strategies for African Agriculture Our laboratory, Center for Remote Sensing Applications (CRSA), is seeking a highly motivated
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of agricultural water use. Specific focus areas include applying AI/ML to analyze remote sensing and sensor data for predicting crop water requirements, advancing irrigation scheduling, and supporting real-time
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use Finland-wide remote sensing resources from one of the consortium members, Finnish Geospatial Research Institute to monitor tree growth in Finland and combine this information with whole genome
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key shortcoming revolves around how software systems can be configured so that relevant, multi-thematic, multi-dimensional datasets (Geospatial, Remote Sensing, social media, mobile devices) can be