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to apply Website https://phd.fbk.eu/calls/detail/artificial-intelligence-for-remote-sensing-imag… Requirements Research FieldOtherEducation LevelMaster Degree or equivalent Additional Information Work
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to join our world-leading research program in robotics, remote sensing, and data-driven approaches for sustainable agriculture. PhenoRob’s mission is to transform crop production by optimizing breeding and
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, Communication Engineering, Computer/Data Science, Mathematics, or equivalent; – knowledge in artificial intelligence, image/signal processing, remote sensing, and radar remote sensing. Where to apply Website
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analytics, remote sensing, GIS, and/or hydrology to join our team. This multi-institutional research program spans five institutions across the state of New Mexico including collaboration with Sandia National
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Università degli Studi di Firenze-Dipartimento di Scienze e Tecnologie Agrarie, Alimentari, Ambientali e Forestali | Italy | 1 day ago
and evaluation of water-related ecosystem services. GIS-based and remote sensing analyses will also be used Where to apply E-mail candidature.selezioni@dagri.unifi.it Requirements Additional Information
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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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of the most interesting and important environmental changes are taking place), and are typically destructive to the target plants. Remote sensing methods --- ranging from handheld and drone-based measurements
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sedimentological data, with cartographic outputs compliant with National Geological Cartography Project (CARG) standards. Thematic (geomorphological) mapping of survey areas. Where to apply Website https
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. Description: This research opportunity is for candidates with special interest in radar remote sensing of vegetation. The proposed project includes radar scattering and ecosystem modeling. The remote sensing