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investigates ways to map and monitor environmental parameters, such as air quality, using sensor networks. It is the intention that you develop original techniques or algorithms and publish them at conferences
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including sensor fusion and active vision, supervise junior researchers, and help attract new projects. There is room for both fundamental theoretical research, where the emphasis is mainly on new techniques
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, hybrid AI, machine learning, time series analysis, anomaly/event detection, etc., with applications in the health care sector. Job Description The omnipresence of sensors causes a growth of data that
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-modulated continuous-wave (FMCW) LiDAR transceivers. Light Detection and Ranging (LiDAR) is a 3D sensing technology based on laser light to measure the distance between an object and the sensor that holds
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-wave (FMCW) LiDAR transceivers. Light Detection and Ranging (LiDAR) is a 3D sensing technology based on laser light to measure the distance between an object and the sensor that holds great promise
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, hybrid AI, machine learning, time series analysis, anomaly/event detection, etc., with applications in the health care sector. Job Description The omnipresence of sensors causes a growth of data that
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focusing on autonomous systems that use complex machine learning models to extract information from high-rate, high-dimensional sensors such as radar or hyperspectral cameras. You will design novel
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alter our everyday exposure to environmental RF-EMF. Smart-city networks are starting to apply RF-EMF monitoring of the radiation of these wireless communications using geographically distributed sensors
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, a.o., biomanufacturing. Job Description The availability of novel sensors causes an important growth of data that offers the potential for a revolutionary transformation in the biomanufacturing sector