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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 | about 7 hours 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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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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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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. 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
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/ Medical Sub-Speciality Location Tucson Campus Address Tucson, AZ USA Position Highlights This Research Professor will develop and maintain an externally funded research program in remote sensing
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projects Where to apply Website https://jobs.vhir.org/jobs/7556677-psychologist-researcher-psychiatry-mental-he… Requirements Research FieldBiological sciences » BiologyEducation LevelMaster Degree
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Use the latest satellite techniques to study the dynamics of sea ice Join us at the Division of Geoscience and Remote Sensing and help advance knowledge about sea ice drift and deformation with
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learning management system. Prior to instruction, all new adjunct faculty must complete a seven-week Teaching Online Pedagogy and Standards (TOPS) course. This is a remote position. Principal Duties
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and human activities. CESBIO scientists make extensive use of remote sensing technologies to monitor environmental changes across spatial and temporal scales and to develop models that address key