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of Offshore Wind Turbines using Contactless Sensors and Operational Modal Analysis”. The main aim of this project is to develop a condition monitoring system with contactless sensors for critical drivetrain
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neuromorphic ultra-low-power active sensor readout and processing at the edge. The chip design will enable online learning capabilities, aiming at modulating the spatio-temporal filtering properties with
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at different spatial scales. Although significant progress has been made in understanding and predicting urban microclimates, the implications of atmospheric dynamics in heterogeneous environments remain
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integrated sensor arrays. The project combines several different concepts: Progress in understanding insect neurobiology that provides proven circuit designs to solve significant problems such as autonomous
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, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication networks or power
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jointly embedded in the research groups of Dr. Sid Kumar (Mechanics, Materials, and Computing group) and Dr. Georgy Filonenko (Functional Polymers and Sensors group). Research group of Dr. Sid Kumar
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Polymers and Sensors group). Research group of Dr. Georgy Filonenko: Functional Polymers and Sensors group: www.tudelft.nl/me/over/afdelingen/materials-science-and-engineering/research/functional-polymers
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a small multicultural research group with PhD students and postdocs of different nationalities. Thus, the group’s communication is in English. We aim to analyze the metabolic homeostasis
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). The Schirmeier lab is a small multicultural research group with PhD students and postdocs of different nationalities. Thus, the group’s communication is in English. We aim to analyze the metabolic homeostasis
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point-of-care spectroscopic sensor to determine the impact of the cell therapy during orgran perfusion. This includes generating experimental data sets with a commercially available spectrometer