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Inria, the French national research institute for the digital sciences | Montpellier, Languedoc Roussillon | France | 2 months ago
postdoctoral researcher to work on the interpretability and explainability of Vision-Language Models (VLMs) for remote sensing applications, with a specific focus on Sentinel-2 data. This research aims
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North Carolina A&T State University | Greensboro, North Carolina | United States | about 1 month ago
/Administrative Internal Number: 37162 Description: This is a full-time Postdoc position to develop the remote sensing data fusion to automatically extracting spatio-temporal features using integrated data-driven
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Agricultural Engineering, Civil Engineering, Soil and Water Engineering, Hydrology, Remote Sensing or related disciplines Required Abilities, Knowledge or Skills: Excellent oral and written communication skills
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. Preferred Qualifications: Ph.D. (or foreign equivalent) in Meteorology, Atmospheric Science, or a closely related field. Experience with field work, remote sensing theory and applications, instrumentation and
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equivalent) in hand by August 31, 2025. Preferred Qualifications: Ph.D. (or foreign equivalent) in Meteorology, Atmospheric Science, or a closely related field. Experience with field work, remote sensing
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that use multi-source remotely sensed data. The research aims to improve our understanding of the integrated functioning of continental surfaces and their interaction with climate and humans, with emphasis
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genetic drivers of individual variation in woodland phenology across temperate and boreal habitats. This multidisciplinary project combines fieldwork, remote sensing (camera and drone-based imagery), and
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areas that aim to ensure the challenging Food and Water security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data. The research aims to improve
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in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data. The research aims to improve our understanding of the integrated functioning of continental
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equivalent) in hand by August 31, 2025. Preferred Qualifications: Ph.D. (or foreign equivalent) in Meteorology, Atmospheric Science, or a closely related field. Experience with field work, remote sensing