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) will contribute to multidisciplinary projects on heat, environment, and human health. This position is embedded within Project HEATS (link: https://www.linkedin.com/company/project-heats/about ) and
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, including renewable energy sources and energy storage systems.Development of predictive models and soft sensors for monitoring the technical condition and operational parameters of energy infrastructure (e.g
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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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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 14 days ago
: PMC10056397. Farsi, A.; Cerone, G.L.; Falla, D.; Gazzoni, M. Emerging Applications of Augmented and Mixed Reality Technologies in Motor Rehabilitation: A Scoping Review. Sensors 2025, 25, 2042. https://doi.org
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 21 days ago
, Nanotechnology, or related fields. • Proven experience in one or more of the following areas: o (Bio)chemical sensors o Electrochemistry o Analytical chemistry o Wearable sensors (Attach publications or master's
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the context of prosthetic devices. The role would involve designing experiments to enable human participants to feel sensations from an artificial touch sensor, bridging the gap between artificial and
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part of the Forschungsverbund Berlin (https://www.fv-berlin.de/) and part of the Leibniz Association (https://www.leibniz-gemeinschaft.de ). You can find more details on the institute webpage: https
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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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dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview
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will address the intricate challenge of enabling AI to learn continuously and collaboratively from wearable or mobile sensor data without compromising user privacy. Your efforts and collaborations with