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, manipulation, mobility, perception and autonomy architectures are desired. The successful applicant will be required to teach, advise and mentor graduate students, develop an independent, externally funded
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. Implement and document a standardized data pipeline for downloading, cleaning, and storing SigCap data on the SigCap server and on a UVI server. Mobile network measurement, data processing, and spatial
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University of the Virgin Islands | Saint Croix Falls, Wisconsin | United States | about 10 hours ago
. Implement and document a standardized data pipeline for downloading, cleaning, and storing SigCap data on the SigCap server and on a UVI server. Mobile network measurement, data processing, and spatial
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measurements Calibration of materials as sensors to measure temperature, oxygen, and pH values in cells Development of models based on artificial intelligence algorithms to interpret luminescence signals Study
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 month ago
field campaigns such as the INjected Smoke and PYRocumulonimbus Experiment (INSPYRE). Active lidar sensing is employed in conjunction with advanced visible and IR sensors, and other atmospheric radiation
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vulnerable and mobility impaired individuals, and case study analyses. Proposals that use digital technologies in data capture are welcomed, for example GPS (location data) and other sensors that measure
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(AMR). The successful candidate will join our Advanced Sensors team and contribute to the One Health Environmental Sensing project, which focuses on the development of novel sensors to enhance
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both fixed and mobile sensors, the candidate will design methods to improve turbulence models, reduce uncertainties, and deliver reliable real-time forecasts. The ambition is clear: support better
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University of California, San Francisco | San Francisco, California | United States | about 13 hours ago
devices; a randomized trial assessing the effectiveness of a blood pressure cuff to detect atrial fibrillation; a digital mobile app-based study to collect data from patients undergoing catheter ablation
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. These methods will integrate machine learning techniques and real-time sensor data, to enhance operational efficiency, reduce costs, and ensure desired service levels, such as meeting a high percentage of demand