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applied to unstructured environments. Proven ability to design, implement, and evaluate experimental systems involving hardware and sensors. Experience with multi-modal sensing (e.g., RGB-D, thermal, LiDAR
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16, 2018. For getting more information about this, we suggest consulting the DGES portal (http://www.dges.gov.pt ). It may be waived to present it during the application phase for the support in
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description. Brief description of the PhD topic: The latest advances in digital technologies, such as Artificial Intelligence (AI), 3D laser scanning (LiDAR), photogrammetry, and virtual reality, among others
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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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inspections, troubleshooting and maintaining aircraft, and integrating sensor payloads such as RGB, thermal, multispectral, and LiDAR into real-world missions. Beyond flight operations, they have experience
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(Raspberry Pi and NVIDIA Jetson). Support AI Makerspace users’ robotics projects involving hardware assembly and software frameworks like ROS or ROS2. Maintain and troubleshoot in room hardware including LIDAR
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provides people with reliable alternatives. Despite years of research efforts, the deployment of autonomous transportation remains at pilot projects [2]. Autonomous vehicles heavily rely on LiDARs
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suspended matter. You will work with diverse remote sensing datasets such as Sentinel-1 and Sentinel-2 satellite data, multispectral imagery, and LiDAR. This position offers the opportunity to collaborate
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positions that will support ongoing work on peatland forests biodiversity and restoration. The primary tasks include processing GIS and remote sensing data, such as satellite and drone imagery and LiDAR data
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restoration. The work involves geospatial and remote sensing data (satellite imagery, drones, LiDAR), with possible fieldwork and project support. Tasks will be tailored to your skills and interests. Work