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Research Technician (Temporary) Posting Number req24901 Department Sch of Nat Resource&Enviro-Res Department Website Link https://snre.arizona.edu/ Location Main Campus Address 1064 E Lowell Street, Tucson
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 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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Advance at Chalmers. You find the full list of PIs of these research groups on the Chalmers homepage: https://www.chalmers.se/en/collaborate-with-us/collaborate-in-research-and-innovation/research-related
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– Integrating Behaviour, Health and Biodiversity in Animal Science”. The ‘Digital Biology’ programme focuses on developing and applying digital technologies (AI, sensors, modelling, data fusion) to better
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routine inspections and preventive maintenance on BMS/BAS hardware (controllers, sensors, actuators, and servers). Diagnose and resolve system alarms, faults, and operational issues, coordinating with IT
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ecosystems. This can be data collected about the marine environment from, e.g., satellites, using passive or active acoustic sensors, or underwater video/images from AUVs. The research will be done in
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methodologies to analyze intensive data streams, including mobile sensor data, social media, and ecological momentary assessment data The use of models as measurement instruments The selected candidate will
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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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experience working within remote oilfield settings. Field work and outdoor data collection can present unexpected challenges and opportunities; adaptability to changing conditions will be essential. https
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for Precision Health Initiative (DAPHI) at UTSW, a major institutional effort that provides access to state-of-the-art computational resources, rich multi-modal datasets (clinical, imaging, omics, sensors), and a