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process design, industrial instrumentation, and automation concepts (PLC, SCADA, sensor networks). Data Lifecycle Mastery: Proven experience manipulating heterogeneous industrial datasets, performing data
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compared to "classical" on-body sensors - design techniques for intra-oral medical sensors are much more stringent than for on-body sensors. For reference please read the following article https://dl.acm.org
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
stimulating scientific and industrial environment of the highest level, with access to a national network of leading research institutions and industry partners, regular interactions with the broader EDT
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holography, structured-light and fringe projection, deflectometry, pattern tracking, high-speed imaging and thermography. Complementary photonic sensing approaches, such as fibre Bragg grating sensors, may
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University of Tecnology in Gliwice). Nanopipette based optical sensors for tracking chemical gradients at the vicinity of catalytic nanoparticles Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant
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member of the French metrology network FIRST-TF, and a member of the REFIMEVE+ project, which physically links our institute to the LTE laboratory in Paris. This thesis will allow the candidate to acquire
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to transform acoustic sensing devices into versatile sensors capable of characterizing the dynamic state of buildings and their inhabitants. By combining multi-microphone acquisition techniques with state
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water leaks, such as pressure/flow sensors or fiber optics, but they require sensors to be installed in advance. To complete the existing techniques, in this study, we will explore the application
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PhD Position Wireless Communications and Non-Terrestrial Networks 40 | Delft | €3059 - €3881 Join TU Delft to help shape the future of wireless communication systems. Our research spans 6G, satellite
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, sensors and instrumentation. Knowledge of one or more of the following areas:Power electronics, Reliability and failure mechanisms, Sensors and instrumentation, Data analytics, machine learning, or AI