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Field
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techniques—particularly convolutional neural networks (CNNs)—will be applied to identify complex canopy patterns and classify successional stages. Mandatory requirements: Ph.D. in Remote Sensing, Forest
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(with email and/or phone). Use the subject line: “PostDoc Remote Sensing”. Applications should be sent to edson.bolfe@embrapa.br by April 30, 2026. Where to apply Website http://www.fapesp.br
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Research Assistant/Assistant Professor (Postdoctoral Researcher) for the project 2025/57/B/NZ8/03444
, geoinformation, geodesy and cartography, ecology, remote sensing, data science, or related disciplines. Where to apply E-mail M.Brzozowska@ibles.waw.pl Requirements Research FieldAgricultural sciences » Forest
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monitoring agricultural emissions across Africa using satellite remote sensing, atmospheric modeling, and deep learning. Research Focus Estimate cropland emissions (NH3, N2O, CO2, CH4) using satellite
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and defend the results obtained in national and international scientific meetings Supervise PhD and Master students as well as students in practices and internships Where to apply Website https
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the integration of hydroclimatic, geospatial, and remote sensing data to support decision-making, strengthen urban water resilience, and contribute to sustainable water resources management. The selected candidate
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Internal Number: 1119227 Position Summary The Lark Lab at Michigan State University seeks a postdoctoral researcher with expertise in satellite remote sensing and spatial analysis to study agricultural land
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a qualified candidate for a postdoctoral scholar to join Zoe Pierrat’s Photon Informed Ecology Lab (PIE Lab). The postdoctoral scholar will engage in research at the intersection of remote sensing
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Researcher position to join the DISECO project (The role of disequilibrium on niche and biodiversity effects over ecosystem trajectories). The position focuses on the remote sensing component of the project
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Do you want to shape the future of digital nature monitoring? Do you have experience with LiDAR, AI, and ecology—and want to contribute to remote sensing research for biodiversity and ecosystems