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Field
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join us at TU Delft to reshape the future of spaceborne radar
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radar? About the position This PhD project will use airborne radar data collected over the Greenland Ice Sheet since the early 1990s to reconstruct how the near-surface firn layer has changed over time
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 7 days ago
conditions. The overarching objective of the project is to develop an extensible, scalable framework that integrates structural, radar, spectral, and temporal information to continually update estimates
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, Satellite Systems, and Radar Systems. The project seeks to strengthen the connection between theory and practice through the development of low-cost laboratory experiments, experimental prototypes, and
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 7 days ago
regions where ground radar and gauge networks are sparse. In the reverse direction, high-resolution precipitation fields (e.g., MRMS) provide spatially distributed validation for fine-scale soil moisture
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) . You are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research for the traineeship About 21% of the world’s forest area is currently designated under legal protection
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programme Reference Number AE2026-0210 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0210
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contested environments, leveraging Vision-Language-Action (VLA) models, multi-sensor fusion (LiDAR, radar, cameras, IMU), semantic SLAM, and EW-resilient mission planning. The platform will feature modular
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: technologist) to collaborate with the funded line of research “Radar Remote Sensing”. Reference: I-PTGAI 40-26 Pursuant to the provisions of the regulations governing calls for applications of research staff
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, smoke, and hot-work detection by fusing optical, thermal/infrared, LiDAR, RADAR, and gas sensor data under varying environmental conditions. Design computer vision and human-behavior analysis models