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analysis and interpretation of meteorological data obtained through radar are fundamental for weather forecasting and monitoring severe weather events. Radar images, especially those of the PPI (Plan
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to staff position within a Research Infrastructure? No Offer Description Accurate analysis and interpretation of meteorological data obtained through radar are fundamental for weather forecasting and
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processing for wireless communication systems including satellite communications and radar systems and is currently expanding its research activities in exploring several emerging use cases of next generation
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Distributed radar systems comprise a coherent network of spatially distributed sensors that can be independently transmitting, receiving, or both. By acting in unison, rather than in isolation
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processing for wireless communication systems including satellite communications and radar systems and is currently expanding its research activities in exploring several emerging use cases of next generation
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survey, such as pipe cable locating, ground penetrating radar and acoustic leakage detection essential to the Laboratory with WSD; (c) possess the qualification of Member of the Hong Kong Institute
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inspection. Design and use of UAS for measurements using radar as well as other sensing modalities (e.g., lidar, optical/IR, atmospheric or environmental sensors). Design of adaptive UAS with dynamic response
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responsibility is to assist the lead air traffic control instructors with air traffic control lab-based courses that may include non-radar simulation, enroute radar simulation, and/or TRACON simulation
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characterization of the terrain and its deformation over time based on repeat pass interferometric data collected by a system of mono- and multi-static Synthetic Aperture Radars (SAR) flown onboard Unmanned Aerial
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
. The successful candidate will work on designing and training advanced deep learning models (e.g., U-Net, Vision Transformers) using multi-modal EO datasets (optical, radar, thermal, LiDAR) to generate high