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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
available from GPS measurements. Analysis of TEC dynamics over ground-based GPS sites using network analysis is of major interest. Characterizing network topology, connections between TEC measurements
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sensors systems, 2D/3D cameras and LiDAR, inertial sensors, radar technologies, GPS, and calibration methods Real experience in designing, implementing and testing of robust, efficient perception algorithms
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the date on which their PhD was awarded, regardless of when they are hired. Be sure to refer to the following link for further information on eligibility criteria: http://www.mcgill.ca/gps/postdocs/fellows
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information on eligibility criteria: http://www.mcgill.ca/gps/postdocs/fellows/registration/eligibility . ** Any offer to non-Canadian citizens/non-permanent residents is contingent on the candidate obtaining a
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management strategies and improve crop productivity. The program utilizes advanced precision agriculture technologies, including GPS-guided planting and spraying equipment, and partners closely with industry
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platforms such as Cornell TEAM-Cities, CATChain, uTECH, etc. • Working with geospatial and mobility datasets (GPS trajectories, transit feeds, sensor data, demographic/socioeconomic data) • Co-designing tools
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Lab (https://pwrlab.org/ ) at the University of California San Diego is seeking a highly motivated Postdoctoral Research Scholar to contribute to a two-year project focused on helping Southeast and
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. Working with geospatial and mobility datasets (GPS trajectories, transit feeds, sensor data, demographic/socioeconomic data) Co-designing tools and analyses with municipal and MPO clients, including
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | about 2 months ago
of prey | Experience in conducting fieldwork, preferably in a remote environment | Experience with GPS-based tracking methods for wildlife | Experience in science communication and public engagement
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cost-efficient and continuous monitoring of forest pathogens. By combining samples collected from machines operating in different regions with GPS and time data, we can map the occurrence of various