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has recently seen the first results in application to engineering materials for wear and plastic damage in steel. A significant opportunity is FLAME GPU general-purpose modelling framework developed in
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platform using AI. Involve in the development, implementation of the platform, as well as integration with multi-modal data from electronic health records, medical images, and sensor data from wearable
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data, including data from electronic health records, medical images, and sensor data from wearable devices Responsible for writing up results, training and supervising students and junior staff
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., Alamaki, A., Condell, J., Nordstrom, A., & Timmons, S. (2021) Older Adults’ Experiences Using Wearable Devices: Meta-Synthesis. JMIR Mhealth Uhealth 2021;9(6):e23832 URL: https://mhealth.jmir.org/2021/6
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-modal data from electronic health records, medical images, and sensor data from wearable devices Responsible for writing up results, training and supervising students and junior staff, preparing
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the design, implementation, and testing of statistical and AI software for analysing large healthcare-related data, including data from electronic health records, medical images, and sensor data from wearable
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Grade Level 41 Salary Range $15.83-25.30/hour Type of Position Staff Position Time Status Full-Time Required Education AA Click here for more information about equivalencies: https://hr.uky.edu/employment
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research with a strong emphasis on digital health, particularly the innovative application of wearable sensor data analysis and mobile health (mHealth) application development. The goal of this research is
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on hormonal time series data collected at unprecedented time resolution in healthy humans and in patients, including studies in real life settings with a state-of-the-art wearable device (https
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project of studying nanoplastic generation and release via nanoscale abrasive wear using advanced atomic force microscopy (AFM) tools. This work will be supported through the NSF CAREER award. The project