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sensor research and development for energy applications, with a focus on advanced manufacturing technologies. The MSA group consists of staff members with backgrounds in mechanical engineering, materials
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
will involve substantial analysis of remotely sensed imagery, including data from SWOT itself and possibly also from other sensors including optical sensors (like Landsat) and other radar sensors. It may
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place technologies and to develop digital twin algorithms to assist clinicians in developing treatment plans. Analyzes complex sensor data, works with a multidisciplinary team to develop health digital
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closely with a small, dedicated team, you will: Design and implement SLAM-based navigation algorithms for GPS-denied forest environments (45%) Develop multi-sensor integration software for LiDAR, cameras
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satellite sensors, customized to taxa and water quality typical of the U.S. West Coast. Apply data from ocean color and/or land imaging satellite missions as appropriate (e.g. PACE, Sentinel 3, MODIS
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novel ideas on searches for dark matter and other physics beyond the Standard Model with quantum sensors, including development of quantum algorithms for atomic clocks and other quantum sensors
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research tasks investigating navigation and integrity assessment of several aircraft-related sensor modalities. The candidate will be mentored by Dr. Jay Wilhelm (Associate Professor of Mechanical
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, Quantum Information , Quantum Optics , Quantum Optics and Quantum Science , Quantum Science , Quantum Sensors Appl Deadline: none (posted 2024/10/25) Position Description: Apply Position Description What
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automation, machine learning, mobile robotics, process control, sensor processing, machine vision, and/or human machine interaction. This position will require working with external partners, corporations, and
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and deploying UAV simulation environments using AirSim or its derivatives. Designing and implementing navigation, planning, and obstacle avoidance algorithms using ROS2. Conducting simulation studies