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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 8 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
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the fields of Artificial Intelligence (AI) and Earth Observation (EO). It has extensive experience in remote sensing, particularly in radar imaging and its application for measuring surface displacement. It
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for navigation support with synthetic aperture radar. About us The Department of Space, Earth and Environment brings together expertise in space, geoscience, energy and sustainability. Through curiosity-driven
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for mobile communications and radar systems. We are looking for motivated postdoctoral research candidates to participate in the development of signal processing algorithms for multi-antenna integrated sensing
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, or autonomous driving applications Perception and Sensor Fusion: Strong background in processing and fusing data from cameras, LiDAR, radar, or other sensors for robust autonomous system perception ML Engineering
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controllers, and PID controls), and preferred sensors (LiDAR and RADAR) is required. Excellent oral and written communication skills. Preferred Qualifications: Familiarity with state-of-the-art models for AI
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radar signals), (ii) Medical image analysis, and (iii) Machine learning/artificial intelligence. The division boasts extensive experience in fundamental research within computer vision, machine learning
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of multimodal data (e.g., meteorological acquisitions, with radar scans and other ambient or physical parameters), and this makes AI techniques particularly convenient to use, since they are particularly data
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will involve developing and applying advanced data analysis methods to investigate ionospheric electrodynamics using novel datasets, including those from the EISCAT 3D radar system and NASA's Electrojet
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Ocean. A second site, Mt. Soledad, was located 3-km inland from the Scripps Pier at an elevation of 250-m and housed Scanning Cloud Radars (SACRs) and a subset of the AMF remote sensors, including a