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settings. Develop and test algorithms for object detection, tracking, and classification using wireless sensors. Help guide and mentor graduate students and other junior team members working on the project
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. Responsibilities* Design, implement, and evaluate wireless-based experiments in lab and real-world settings. Develop and test algorithms for object detection, tracking, and classification using wireless sensors
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for space and hypersonic applications, integrating heterogeneous sensor data (EO, radar, IMU, LiDAR) into robust orbit determination and relative navigation pipelines. The position spans theoretical algorithm
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for autonomous vehicle control and teleoperation applications. Expertise in the areas of vehicle dynamics, vehicle control, localization, computer vision, sensor fusion and estimation algorithms is desired
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in the development and prototyping of radar and optical tracking systems, neuromorphic sensor systems, radar transponders, and advanced sensor fusion technologies apply AI/ML to improve detection and
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government agencies (OGAs). As part of your routine tasks, you may be required to: Assist in the development and prototyping of radar and optical tracking systems, neuromorphic sensor systems, radar
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 18 hours ago
full patient protocol. • Select and integrate data acquisition (DAQ) systems and control hardware. • Collaborate with cross-functional teams including clinical, algorithm, and mechanical engineering to
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upgrade existing imaging and sensing systems Develop new sensing techniques and technologies Calibrate sensors and ensure data integrity for use in machine learning algorithms Support R&D projects
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Sonmez Turan meltem.turan@nist.gov 301.975.4391 Description NIST standardized cryptographic algorithms are intended to be "bulletproof". That is, the computational complexity needed to break them is
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-acquisition circuitry, and signal-processing/pattern-recognition algorithms. The sensors must be tailored for the particular nature of a given chemical or biochemical measurement problem by optimizing and