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Field
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methods for creating 3D models from sensor data, which are used in many applications, for example 3D maps for human navigation, mapping and localization for autonomous cars and other vehicles. We develop
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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 15 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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closely with signal processing pipelines built on real measurement data — including baseband I/Q signals — and contribute to both algorithm development and experimental validation. The role involves close
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is to design a data architecture capable of harmonising sensor data and integrating them with artificial intelligence algorithms for predictive irrigation management. The research will include
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has strong affinity with aerospace & security and experience in radar chip architecture and demonstrator building. What you will do join a team researching wireless systems and algorithms. research
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underwater robots. - Designing, implementing, and evaluating navigation, control, and mission planning algorithms. - Studying multi-robot coordination and human-robot teaming strategies. - Participating in
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, including cellular and Wi-Fi networks, in order to meet the requirements of emerging critical applications. In this context, intelligent embedded devices (augmented cameras, connected sensors) generate
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sensors to monitor crop growth Develop processing pipelines for image analysis (e.g. segmentation) and trait quantification Design experiments to calibrate and validate growth estimation algorithms under