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Field
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related field • Strong quantitative background (e.g. ecological theory and mathematical modeling, hierarchical statistical modeling, machine learning, remote sensing, geospatial statistics) • Demonstrated
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-impact journals and present research at international conferences. Your Profile Requirements: Education: PhD in Remote Sensing, Environmental Engineering, Geoinformatics, Telecommunications, or a related
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comprises 28 research groups in the following seven departments: Materials Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport
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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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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 3 months ago
and analyze data from our INSTEP network in conjunction with others. Sensor data fusion along with remote sensing instruments (Pandora, AERONET) and satellites (TROPOMI, TEMPO) will serve to validate
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decision-relevant outputs such as restoration and implementation scenarios. The postdoc will collaborate closely with experts in remote sensing, ecology, environmental science, and engineering while
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decision-relevant outputs such as restoration and implementation scenarios. The postdoc will collaborate closely with experts in remote sensing, ecology, environmental science, and engineering while
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networks), and the integration of these ground-based observations with state-of-the-art remote sensing information describing forest structure and function. The position will require computationally
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
close collaboration with a specific group (DARSA) specialized in developing and applying remote-sensing tools and innovative open-source machine-learning methods. Key responsibilities Develop effective
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close collaboration with a specific group (DARSA) specialized in developing and applying remote-sensing tools and innovative open-source machine-learning methods. Key responsibilities Develop effective