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Field
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multi-sensor atmospheric remote sensing from ground, airborne, and satellite platforms. Our group develops advanced algorithms and data analysis methods to address fundamental scientific challenges
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is preferred. The objective of this position is to provide an opportunity for a motivated researcher to push the envelope of capabilities in high-impact, operationally relevant mathematical algorithms
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Analyze multi-sensor data to evaluate system performance Design, implement, integrate, and test software to demonstrate guidance and control algorithms Collaborate and communicate with a team of peers
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 2 months ago
control hardware. Collaborate with cross-functional teams including clinical, algorithm, and mechanical engineering to define system requirements, sensor specifications, and patient interaction protocols
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advances in 3D vision, AI-driven detection, and multimodal sensor integration (RGB, RGB-D, LiDAR), and digital twins. The postdoctoral fellow reports to Dr. Vedhus Hoskere in the College of Engineering/Civil
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multi-sensor atmospheric remote sensing from ground, airborne, and satellite platforms. Our group develops advanced algorithms and data analysis methods to address fundamental scientific challenges
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algorithms from concept to implementation; and performing systems integration and testing for technology maturation. Minimum Qualifications: 1. Ph.D. in relevant technical field 2. 6 years experience in
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including clinical, algorithm, and mechanical engineering to define system requirements, sensor specifications, and patient interaction protocols. • Develop custom control and data processing software in
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control algorithms (such as adaptive control or model predictive control) to reliably maneuver Army projectiles to the target despite limited state information, control authority, and changing flight
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, integration, and analysis of large, diverse datasets obtained from Unmanned Aerial System (UAS), Satellite imagery, ground sensors, and field measurements. -The candidate will work on Texas Climate Smart