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units for air quality monitoring are urgently needed to preserve air quality, human health, and the environment. Current state-of-art commercial miniaturized gas sensors based on classical oxygen
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characterization and large-scale component testing, including the setup and use of conventional and advanced sensing technologies (e.g., displacement/strain sensors, DIC, fiber-optic sensing). Analyze experimental
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advances in 3D vision, AI-driven detection, and multimodal sensor integration (RGB, RGB-D, LiDAR), and digital twins. The postdoctoral fellow reports to Dr. Vedhus Hoskere in the College of Engineering/Civil
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Stanford University / SLAC National Accelerator Laboratory | Menlo Park, California | United States | about 21 hours ago
decays using ultra-low-threshold superconducting sensors. For 1), we are members of the nEXO and XLZD experimental collaborations and are pursuing a next-generation experiment capable of measuring 0𝜈ββ
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engineering, materials science, spectroscopy or fluorescent systems. Candidates with prior experience in the design, development and engineering of luminescent sensors and pressure sensitive paints are strongly
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system automation. Investigate and improve human-machine interaction frameworks for construction operations, including robotics, sensor-based communication, and real-time monitoring. Publish research
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to develop highly performant, CMOS compatible, thermal sensor and microbolometer technology. The project aims to revolutionize thermal imaging technologies for automotive, safety and surveillance by developing
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in collaboration with international research and industrial partners. The position requires software development within the topics of navigation, sensor fusion, Kalman filtering and gravity field
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detectors while also having flexibility to pursue your own research interests. Research Focus Participate in a detector R&D program aimed at developing superconducting nanowire sensors to enable
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
will involve substantial analysis of remotely sensed imagery, including data from SWOT itself and possibly also from other sensors including optical sensors (like Landsat) and other radar sensors. It may