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data acquired by mobile road monitoring systems using heterogeneous sensors, such as images, laser profilometers, GPS, and audio data, will integrate machine learning, computer vision, and image analysis
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Science: Concepts and Algorithms INSY 674 075 Fridays 08:35 - 9:55 Start Date: August 31, 2026 End Date: December 4, 2026 CL Credits: 1.5 Number of Class Hours: 19.5 Remuneration: $5,912.00 Deadline
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Science: Concepts and Algorithms INSY 674 076 Fridays 14:35 - 15:55 Start Date: August 31, 2026 End Date: December 4, 2026 CL Credits: 1.5 Number of Class Hours: 19.5 Remuneration: $5,912.00 Deadline
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such as technology scoping, carrying out feasibility studies, and performance evaluation Relevant experience in sensor technologies Completion of a relevant research project or student placement in the agri
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hardware troubleshooting of mobile bases, manipulators, and customized end-effectors. • Conduct sensor calibration (LiDAR, RGB-D cameras) and maintain the hardware health of the robot fleet
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sensor monitoring, actuator and motor control, and algorithms for signal processing, detection, classification, tracking, and decision‑making Develop and integrate autonomy‑related capabilities such as
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Dallas County Community College District | Lee Center, New York | United States | about 13 hours ago
, controls, sensors, and related systems. Oversee and support the College's HVAC preventive maintenance program, helping ensure compliance with established standards, policies, and procedures. Analyze system
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monitoring instrumentation and control components including receivers-controllers, switches, relays, control panels, electronic and computer circuit boards, sensors, transmitters, pressure regulators
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monitoring instrumentation and control components including receivers-controllers, switches, relays, control panels, electronic and computer circuit boards, sensors, transmitters, pressure regulators
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distributed cloud-based infrastructure for the secure and reliable integration of sensor and actuator systems with high-performance computing resources in edge and cloud environments, as well as the subsequent