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computing system and sensors on the shuttle platform, assist in pilot preparation processes, and conduct research under the following topics: Development of ECU-level Digital Twins: Design and implement
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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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some products decay faster. For that purpose, we develop digital twins of the cargo, based on measured air temperature and humidity data in cold chains by commercial sensors, and deploy them in end
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spanning design, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication
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for sensing the backscattered ultrasound signals. You will join a laboratory with expertise in photonics, piezoelectric materials and device fabrication methods for sensors and actuators, working under
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a highly motivated PhD candidate to work on sloshing control in liquid tanks as part of the ERC project ReTwist in the team of Prof. Miguel A. Mendez. Sloshing – the wave-like motion of liquid in
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and Prof. Leo de Vreede and have daily access to TU Delft’s state-of-the-art IC design infrastructure and support from Dr. Maarten Molendijk, Dr. Robert van Veldhoven at NXP Semiconductors in Eindhoven
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dedicated to digital transformation in healthcare, sports, food, and environmental monitoring through advanced (bio)chemical sensing, combining electrochemistry and imaging technologies. Led by Prof. María
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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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off-the-shelf sensors and the development of resilient algorithms that combine first-principles modeling with modern machine learning techniques. The goal is to push the boundaries of robust perception