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comprises 28 research groups in the following seven departments: Materials Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport
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of remote sensing, improving forecasts of weather, climate and snowpack, and will contribute to Texas Forecast Informed Reservoir Operation Pilot. Required Qualifications PhD in Hydrology, Meteorology
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Moléculaire (L2CM) is a joint research unit of the Université de Lorraine and the CNRS (UMR 7053), comprising around 40 permanent staff members and 20 PhD students and postdoctoral researchers. Founded in 2018
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decision-relevant outputs such as restoration and implementation scenarios. The postdoc will collaborate closely with experts in remote sensing, ecology, environmental science, and engineering while
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Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI
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decision-relevant outputs such as restoration and implementation scenarios. The postdoc will collaborate closely with experts in remote sensing, ecology, environmental science, and engineering while
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plus and will help you engage effectively with local communities and operational partners. Where, how, and with whom you’ll work You will join the Geoscience and Remote Sensing department at TU Delft
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evaluate advanced networked systems that enable new forms of remote care and emergency support services under realistic conditions. You will be mainly in charge of: • Contributing to the design and
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
close collaboration with a specific group (DARSA) specialized in developing and applying remote-sensing tools and innovative open-source machine-learning methods. Key responsibilities Develop effective
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close collaboration with a specific group (DARSA) specialized in developing and applying remote-sensing tools and innovative open-source machine-learning methods. Key responsibilities Develop effective