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postdoctoral position, in collaboration with Demcon, focusing on off-road SLAM using lidar, camera, and IMU. Do you have a deep understanding of semantic segmentation, SLAM, sensor fusion (lidar, camera, IMU
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, including multispectral and thermal imagery as well as LiDAR measurements, into ensemble agroecosystem model simulations. The successful candidate will play a key role in developing robust landscape-scale
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 10 hours ago
of photonic chips and integrating chips into larger instruments. Applications include remote sensors like microwave photonics radiometers, compact lidar systems. We are interested in miniaturization of existing
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of fully autonomous navigation systems. Main responsibilities Develop and optimize autonomous navigation algorithms for outdoor mobile robots. Integrate and fuse data from perceptual sensors (LiDAR, RGB
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project subcontracted through UGA. This project requires high-end skills in Geospatial Engineering & Technology including GeoAI, Geospatial Model Building, Remote Sensing (Satellite, LiDAR) Data Analyses
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-visitors-with-wildlife-natural-habitats.html Schindling, J., Gibbes, C. (2014) LiDAR as a tool for archaeological research: a case study. Archaeol Anthropol Sci 6, 411–423 https://doi.org/10.1007/s12520-014
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Location Lexington, KY Grade Level 45 Salary Range $47,278-78,000/year Type of Position Staff Position Time Status Full-Time Required Education MS Click here for more information about equivalencies: https
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mission: concept, scientific objectives and data products. Bull. Amer. Meteor. Soc., BAMS-D-23-0309.1, https://doi.org/10.1175/BAMS-D-23-0309.1, in press. The HAWC Science Development Team (SDT) is jointly
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of developing, indicators to track CO₂ emission trends. Activities Process, calibrate, and validate datasets, including Lidar aerosol data, in collaboration with the Atmospheric Optics Laboratory of Lille
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heterogeneous geospatial data such as LiDAR point clouds, aerial orthophotos, street‑level imagery, and map/cadastral information. A central requirement is topological correctness—watertight, manifold meshes