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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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will perform 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
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electronics for sensor readout systems, including ASIC and SoC design and verification. Strong experience in hardware–firmware co-design for data acquisition and processing pipelines, including FPGA-based
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combining two of Europe's new satellite sensors. If you have interests in physics, climate and machine learning, this is the Doctoral student position for you! About us Our team is part of the Division
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requested by providers. Exposes and scan radiographs by using intraoral digital sensor. Maintains dental supply inventory in the clinic area by checking stock to determine inventory level; anticipating needed
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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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reactive transport models. Synthesize results in presentations at conferences and journal articles. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for-recruitment-of-research-s
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, multiscale, high-fidelity simulations that emulate in real-time the state of a corresponding physical twin based on historical and real-time sensor data. The comparison of physical and virtual data throughout
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the development of the following main tasks: i) Definition of an architecture for a digital representation with a digital twin of sensorized surfaces. ii) Integration of real-time data from Internet of Things
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, implementation, validation, and evaluation of innovative solutions for interfacing and integrating energy-efficient sensors into next-generation mobile communications infrastructures (5G+/6G). Applicable