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Advanced Remote Sensing Technologies, under the project reference no. 2023.16642.ICDT/COMPETE2030-FEDER-00886500. The main objective of this research work is to develop algorithms and methods combining multi
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for the postdoctoral position. Other relevant qualifications a) Educational background - PhD in SSD AGRI-03/B with particular reference to remote and proximal sensing of forest resources - Forestry and Environmental
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Consiglio Nazionale delle Ricerche - Istituto di Metodologie per l'Analisi Ambientale (CNR-IMAA) | Italy | 5 days ago
://imaa.cnr.it/ Requirements Additional Information Eligibility criteria a. PhD in Physics / Atmospheric Sciences / Remote Sensing / Earth Observation or a qualification obtained abroad, or in technical-scientific
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(e.g. computer vision, deep learning, AI) and green life sciences (e.g., remote sensing, crop modelling, and food security), within the European funded project AgriscienceFM (Horizon programme), which
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Foundation-model-guided world models and predictive control for autonomous remote handling in extreme environments The Fusion Engineering Centre for Doctoral Training (CDT) PhD Research Project
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analytics, geographical information science, satellite positioning, ubiquitous positioning, photogrammetry and remote sensing, geodesy and geodynamics, environmental monitoring, geo-hazards studies
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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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project deliverables are met. Any other ad-hoc duties assigned by Supervisor. Job Requirements PhD in Geography, GIS, Remote Sensing, Environmental Science, Earth Science, or related disciplines. Strong
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. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). We are seeking a post-doctoral fellow interested in employing NASA and perhaps non-NASA remote sensing
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funding calls. REQUIRED PROFILE • PhD in Hydrology, Environmental Science, Remote Sensing, Data Science, Civil Engineering, or a related field. • Strong background in hydrological modelling, time