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advanced wireless systems rely on array-based operations, such as phased arrays or MIMO arrays, where thousands of antennas need to work in synchrony with hundreds of integrated circuit (IC) chips, facing
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flood-analysis methods. Coordinate field measurements and model validation along selected urban transects, including microclimate sensors, thermal observations, photogrammetric surveys and field
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sensors and usage logs using advanced statistical and machine learning approaches to develop personalised nudging and adaptive interventions. The candidate will also lead the development of a cross-platform
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robust acquisition, synchronization, calibration and quality-control procedures across multimodal data streams. Troubleshooting software, hardware, sensors, timing, synchronization, data acquisition and
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data se t collected using sensors originally developed for mobile robotics applications. Job description Particular focus will be placed on deriving velocity and flow depth estimates at unprecedented
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, focusing on personalized monitoring, diagnostics, and treatment. Relevant expertise includes wearable sensors, organoids, microfluidics, advanced imaging, biomedical microsystems, and AI-based analytics
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using clinical and sensor-based data. The position provides exposure to multimodal clinical and laboratory-based data acquisition, collaboration with computer scientists, engineers, clinicians, and
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in mountainous areas. The project is focussed on collecting and analyzing a unique field data se t collected using sensors originally developed for mobile robotics applications. Job description
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challenges in fluid structure interaction (FSI) relevant to energy, process, and materials engineering, with a strong focus on: Advanced numerical modelling and simulation Experimental methods and sensor
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, to wearable sensors and actuators, as well as soft in vitro interfaces. The Postdoc will contribute to the development and verification of an optoelectronic therapy for bladder dysfunction. More specifically