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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
applications for air quality management. This will include acquiring datasets related to multiple air quality sensors from diverse data sources, develop open-source, easy to use tools to compare different types
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digital intra-oral and extra oral radiographic imaging (e.g. cone beam computed tomography, and bitewing, periapical, occlusal and panoramic views in analog/film and digital/plate/sensor formats). Review
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with data collection and instrumentation such as flow measurement, data loggers, telemetry, and environmental sensors. ● Demonstrated experience with construction or shop tools; Computer aided
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has active research programs in image and signal processing, remote sensing, robotics, healthcare and biomedical devices, communications and sensor networks, electric energy systems, and photonics and
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, construction, maintenance Knowledge of building automation, energy management systems, sensor networks, smart systems Adaptability / Problem Solving Ability to respond to evolving challenges (climate events
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our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors
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case study. The recruited PhD researcher will contribute to three main objectives: (i) collecting, integrating, and structuring data from sensors, monitoring networks, and energy systems; (ii) developing
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model scenarios, and data which can be used to test the developed models. Measurements will include, for example, water content, and pressure head with local in-situ sensors. In addition we aim to carry
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–Senftenberg (BTU) brings together cutting-edge research and knowledge transfer at an international level, establishing an interdisciplinary innovation network and positioning itself as a centre of excellence
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subglacial hydrology. This NSF-funded project seeks to observe changes in subglacial hydrologic network geometry through two consecutive melt seasons by combining passive seismic, radar, and direct moulin