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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 2 months 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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socio-economic constraints. https://www.eu4greenfielddata.eu GreenFieldData will mobilize 14 Doctoral Candidates (DCs) enrolled in Double Degree Doctorate programmes with 12 academic main beneficiary
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 month ago
. Recent updates to QFED include integration of fire products from new sensors (VIIRS), and a new multispectral approach for retrieving fire radiative power (FRP) for two phases of burning: flaming and
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of the relationship between the characteristics of the roadside area and accident rates, in the development of new methods to support sustainable mobility and logistics, in the installation of sensors
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addressing research on daily life issues, such as healthcare, space, mobility, human language technologies, agri-food, industry 4.0, and smart grids. This high level of knowledge transfer is achieved through
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. For general application assistance or if you have questions about a job posting, please contact Human Resources at 479.575.5351. Department: Construction Services Department's Website: https://fama.uark.edu
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innovative uses of AI/ML in classroom and learning settings is desirable. NAU's goal is to be the nation's preeminent engine of opportunity, vehicle of economic mobility, and driver of social impact by
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, researchers and students engineer solutions to problems in diverse fields, from bio- to nanotechnology, from energy to mobility, from health sciences to communication, and beyond. The Ohio State University has
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of a new class of compact, high-performance inertial sensors, paving the way toward practical quantum sensing platforms for mobile and embedded applications. This project is embedded in the QDNL
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, intelligent mobility systems by bridging the gap between software-defined vehicular technologies, energy-aware design, and autonomous decision-making. The main objective of this research is to bridge the gap