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Movement Sciences at Rutgers University is seeking a highly motivated Post Doctoral Associate to work on translational projects at the intersection of biomechanics, machine learning, exergaming, and mobile
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sensors, mobile/cloud apps, eye tracking, activity and sleep monitoring). Supports studies involving participants with chronically implanted electrodes or neurostimulation devices, including coordination
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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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, 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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University of the Virgin Islands | Saint Croix Falls, Wisconsin | United States | about 12 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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. 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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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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(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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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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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