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Field
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. Responsibilities* Design, implement, and evaluate LiDAR-based experiments in lab and real-world settings. Develop and test algorithms for object detection, tracking, and classification using LiDAR sensors. Help
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vehicle (AV), allowing for automated detection, prediction, mapping, and planning. During the vehicle’s operation, data is obtained through a myriad of sensors in an AV—including RADAR, LIDAR, cameras, and
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research team. Key research areas include: Development of low-carbon materials and tunable thermal energy storage materials integrated with smart sensors and advanced algorithms Creation of Digital Twins
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to join our team in advancing new diagnostic technologies. This project focuses on developing real-time electrochemical sensors for continuous, on-site monitoring of key analytes relevant to environmental
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vehicle (AV), allowing for automated detection, prediction, mapping, and planning. During the vehicle’s operation, data is obtained through a myriad of sensors in an AV—including RADAR, LIDAR, cameras, and
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Department of Geography and the Environment. The postdoctoral scholar will lead sediment remote sensing algorithm and foundation model development and implementation, remote sensing and field data acquisition
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Liu at UA Department of Geography and the Environment. The postdoctoral scholar will lead sediment remote sensing algorithm and foundation model development and implementation, remote sensing and field
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using sensors, data loggers, and thermal images Lab experiments examining how nutrition affects performance and physiological traits Field experiments quantifying behavior of insects Mentor(s): The mentor
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chloride capacity of polymer films. Proof-of-concept testing of turn-on fluorescent sensor for chloride using polymer coating Engage with industry and engineering collaborators. Publish findings in
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to join our team in advancing new diagnostic technologies. This project focuses on developing real-time electrochemical sensors for continuous, on-site monitoring of key analytes relevant to environmental