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articles, and supervising graduate students, if any. 6. Performs other duties as assigned. Required Education: A PhD degree in a field related to the tasks above within the broader theme of remote sensing
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will lead research at the intersection of crop-switching, environmental resilience, and agrifood sustainability. The candidate will develop and apply spatial analysis, remote sensing, and modeling
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. The candidate will develop and apply spatial analysis, remote sensing, and modeling to evaluate the technical, environmental, and socioeconomic implications of transitioning to resilient crops in the Northeastern
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will lead research at the intersection of crop-switching, environmental resilience, and agrifood sustainability. The candidate will develop and apply spatial analysis, remote sensing, and modeling
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will lead research at the intersection of crop-switching, environmental resilience, and agrifood sustainability. The candidate will develop and apply spatial analysis, remote sensing, and modeling
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experience in Python, C++, MATLAB, or LabVIEW. Brief Description of Duties (Postdoctoral Associate): The selected candidates will join the Atmospheric Remote Sensing Group , a leader in innovative multi-sensor
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combining space-based remote sensing and modeling, it aims to better understand the evolution of forest fuels and their role in fire propagation. Tested on pilot forest areas (Centre-Val de Loire and Pyrénées
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 3 days ago
, remote sensing, bioinformatics, or related topics)• Publication of scientific articles in recognized international journals and at conferences• Participation in the development and teaching of practical
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analyzing soil water data. Skills in GIS. Analysis of plant data from ground- and/or remote sensing-based monitoring methods. About us The Department of Crop Production Ecology contributes to solving applied
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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