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Consiglio Nazionale delle Ricerche - Istituto di Metodologie per l'Analisi Ambientale (CNR-IMAA) | Italy | about 12 hours 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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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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postdoctoral research project. The project focuses on the development and application of a remote sensing algorithm for monitoring the physicochemical properties of aerosols based on optical measurements taken
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Institut de Recherche pour le Développement (IRD) | Sete, Languedoc Roussillon | France | about 12 hours ago
, Ifremer, University of Montpellier, CNRS) and one secondary institution (INRAE). Its research activities are organized around six objectives defined in response to societal challenges related to marine
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decades, the rapidly expanding volume of satellite and other remote sensing data has greatly assisted the fault trace mapping. The mapping is commonly done manually: the expert recognizes the fracture and
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atmospheric sciences • Knowledge of cloud or aerosol physics • Experience in algorithm development and satellite remote sensing • Good written and spoken English • Ability to work independently as well as in a
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29 Jan 2026 Job Information Organisation/Company CNRS Department Laboratoire Lorrain de Chimie Moléculaire Research Field Chemistry Physics Technology Researcher Profile Recognised Researcher (R2
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19 Jan 2026 Job Information Organisation/Company CNRS Department Centre d'études spatiales de la biosphère Research Field Environmental science Biological sciences Geosciences Researcher Profile
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
remote sensing data. Rather than relying on traditional assumptions, it uses modern generative AI models, particularly diffusion models, to better represent priors and sample the posterior probability
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plant phenomics. Key responsibilities will include: Provide senior specialist expertise in proximal and remote sensing for high-throughput plant phenotyping, supporting agronomy, broadacre crop physiology