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Field
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learning and convolutional neural network architectures is required at the graduate level (MSc or PhD). Familiarity of working with remote sensing airborne and satellite datasets as well as 3D datasets is
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Institut Lumière Matière ILM- UMR 5306 CNRS / Université Claude Bernard Lyon 1 | Villeurbanne, Rhone Alpes | France | 5 days ago
the immuno-sensing performance of the biosensor Funding category: Financement de l'Union européenne PHD Country: France Requirements Specific Requirements The candidate is expected to have a strong background
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The Space System Engineering (SpaSys) research group at SnT is seeking to hire a highly motivated PhD candidate for investigations in the area of large spacecraft formation flight, that is, a swarm
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Your Job: You will join the Simulation and Data Lab `AI and Machine Learning for Remote Sensing`, which aims to enhance visibility in interdisciplinary research between applications from remote
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with partners worldwide. Satellites are increasingly used to monitor events and processes on Earth. Thermal-infrared (TIR) remote sensing with satellites can be used to detect fires, evaporative cooling
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in ecosystems (RESILIENCE) we are offering a PhD position for a self-motivated candidate with a strong scientific background in the fields of ecology, remote sensing, environmental sciences, data
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in ecosystems (RESILIENCE) we are offering a PhD position for a self-motivated candidate with a strong scientific background in the fields of ecology, remote sensing, environmental sciences, data
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we’re looking for: A PhD or equivalent in geospatial science. Advanced skills and demonstrated experience in using Geographic Information Science and Remote Sensing techniques. An emerging (for recent
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Fully funded PhD research assistantships available at UT Arlington's Hydrology and Water Resources Lab (HWRL), Hydrometeorology and Remote Sensing Research Group. Desired qualifications: Master's
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in Africa, with a special focus on developing actionable and impactful methods/tools that use multi-source remotely sensed data. The research aims to improve our understanding of the integrated