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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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scale is based on the analysis of seasonal patterns at the European scale of the remotely sensed spectral index (PPI) at multi temporal scale in wild fruit stands. In-situ phenotyping of CWR at the tree
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at the policy–academic interface. This position is ideal for an early- or mid-career researcher with experience in GIS or remote sensing who seeks to apply and expand their expertise in a fast-paced
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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
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YOUNG RESEARCHER IN THE FIELD OF EARLY DETECTION OF THE HEALTH STATUS OF PLANTS USING REMOTE SENSING
Mathematics » Statistics Geosciences » Other Technology » Remote sensing Engineering » Agricultural engineering Computer science » Programming Computer science » Informatics Computer science » 3 D modelling
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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in the Environmental Sensing and Modelling (ENVISION) unit
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The Centre for Remote Sensing and Deep Learning of Global Tree Resources (TreeSense): TreeSense invites applications for a two-year postdoctoral position starting on June 1, 2026, or as soon as
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-technologies ) group, coordinated by Arianna Traviglia. This group focuses on Cultural Heritage Technologies: Remote Sensing Technologies. Your activity will comprise State-of-the-art models report preparation
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Ministero dell’Agricoltura, della Sovranità Alimentare e delle Foreste (Soggetto attuatore ISMEA) | Italy | about 9 hours ago
evaluating the productive and qualitative responses of crops affected by the application of such residues both from proximal and satellite surveys (remote sensing) Where to apply Website https://www.unifg.it
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the long term. Is Your profile described below? Are you our future colleague? Apply now! Education PhD degree in remote sensing, preferably with a doctoral thesis on RTM inversion or deep learning in remote