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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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, electrophysiology in freely moving animals, behavioral quantification using large-array motion capture cameras, and wireless embedded sensors, to record neuronal activity and bodily movements in behaving animals with
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, optical and lidar sensors together with auxiliary data to generate AI-ready datasets. Prepare large training data sets from other satellite remote sensing instruments and auxiliary data Present results
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telecommunications, automation or computer science * research experience in fiber optic sensors, including hands-on experience in modifying optical fibers * experience in operating laboratory equipment, including
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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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Specification: https://www.jobapscloud.com/CT/specs/classspecdisplay.asp?ClassNumber=0782TC&R1=&R3= INTRODUCTION UConn’s Facilities Operations Department has one job opening for Electronic Integrated Control
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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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Are you a power electronics engineer, or an engineer with a practical background in radio frequency electronics, analogue electronics, pulsed power, or sensor development, looking to apply your
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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
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about DTU Electro at www.electro.dtu.dk . For more specific information on the Quantum Light Sources group, see also https://electro.dtu.dk/research/research-areas/nanophotonics/quantum-light-sources