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drones, GPR, and LiDAR), and digital humanities. Applies Indigenous research methodologies and principles of kinship-based engagement and relational accountability in support of research activities
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scholarship programs to pursue higher education Robust retirement plans with university match Learn more about working at UNL : https://go.unl.edu/aboutus The University of Nebraska does not
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, structured light, and structure-from-motion (SfM) systems. Program and test autonomous vehicles, integrating sensor payloads like LiDAR and stereo cameras onto Unmanned Aerial Systems (UASs). Project
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, including lidar techniques, ground-based and satellite observations, and related measurement instruments. Demonstrated experience in the processing and interpretation of atmospheric data, with
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involving hardware and sensors. Experience with multi-modal sensing (e.g., RGB-D, thermal, LiDAR, spectral, or force/torque sensors). Demonstrated ability to conduct independent research and publish results
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programme Reference Number AE2026-0284 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt
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cover change detection, LiDAR. -Proven experience with Python and/or R. -Working knowledge of Google Earth Engine. -Working knowledge of Power Automate and Power BI. -Experience with machine learning
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visual place recognition on aerial, street-view, and LiDAR data. Your responsibilities Research related to the topics of the project and beyond Taking a leading role in pursuing the objectives of the
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cover change detection, LiDAR. -Proven experience with Python and/or R. -Working knowledge of Google Earth Engine. -Working knowledge of Power Automate and Power BI. -Experience with machine learning
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navigation satellite systems (GNSS), geodesy, photogrammetry, terrestrial laser scanning, airborne or satellite LiDAR, radar altimetry, GIS, geovisualization, and geospatial analytics) with a civil