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sensors and readout electronics, SPECT, PET, and X-ray imaging instrumentations, image and signal processing techniques, pre-clinical and clinical applications. Develop new research areas to include
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, sensor networks, robotics, and machine learning applied to the integration of computational algorithms and physical processes; Foundational aspects and methods in Machine Learning; Applications of machine
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areas of excellence and research foci within the Computer Science and Engineering Department include algorithms, animation & visualization, architecture, artificial intelligence, assistive technology
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driving systems; assists in the integration of sensors and perception algorithms; assists in the design of software pipeline and experiments; performs and monitors experiments and data collection; assists
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research team. Key research areas include: Development of low-carbon materials and tunable thermal energy storage materials integrated with smart sensors and advanced algorithms Creation of Digital Twins
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vehicle (AV), allowing for automated detection, prediction, mapping, and planning. During the vehicle’s operation, data is obtained through a myriad of sensors in an AV—including RADAR, LIDAR, cameras, and
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-world solutions. The engineer will design algorithms, develop software, and integrate real-time and HPC sensing and communications systems. Major Duties/Responsibilities: Design and optimize signal
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interference. Identify and minimize coupling of these environmental disturbances into detector systems. Evaluate optimal sensor placements and perform coupling measurements before and during each observation run
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campus of ARL focused on developing the most advanced navigation technologies in the world, built around unique laboratories specially designed to test the most precise navigation sensors and systems
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, precision, and adaptability in dynamic environments, including navigation in complex spaces. - Perception and Sensing: Leveraging diverse sensors and advanced perception techniques to interpret and interact