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, object detection, and multi-sensor AI perception is required. Key Responsibilities: Develop real-time 3D mapping solutions by fusing data from radar, thermal, and odometry sources. Design and implement
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all project deliverables are met. Undertake these responsibilities in the project: Conduct technology review of sensor technology Develop algorithms/models for engine health monitoring Develop prototype
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(terrestrial and NTN). The goal of this research is to design and develop algorithms and techniques that adapt to the environment, minimizing signaling overhead associated with channel estimation and enhancing
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the University. Key Responsibilities: The research associate will be leading the development of sensor fusion, perception, localization, situation awareness for autonomous robotic navigation. The work will also
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candidate will focus on the design, development, and integration of innovative sensors, actuators, and flexible electronic circuits tailored for wearable health monitoring devices. This role will involve
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candidate will focus on the design, development, and integration of innovative sensors, actuators, and flexible electronic circuits tailored for wearable health monitoring devices. This role will involve
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including language understanding, generation, explainability and reasoning, and dialogue systems. Efficient algorithm development for air traffic conflict resolution. Develop and evaluate AI models, including
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/ machine learning algorithms to support research in the IDMxS Analytics Cluster. The RF will apply/ improve machine learning algorithms to process (e.g., classify, predict) data collected by IDMxS. Help
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. Integrate sensors (e.g., force, position, safety) to inform robot behavior and user feedback. Conduct iterative testing and refinement of the interface based on usability studies. Collaborate with clinical
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nanocomposite and supramolecular materials for next-generation integrated sensor arrays. This role supports innovation in intelligent sensing technologies, contributing to the development of scalable