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Field
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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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passive seismic experiments (HOREX® and Full-HOREX®). These deployments, involving more than 2,000 nodal sensors, provide high-resolution imaging of the subsurface over an 80 × 80 km area to a depth of ~20
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signals at a time from on-board sensors) battery-powered embedded device that collects and processes the data (using an AI model) from the human mouth and transmit the data wirelessly for further analysis
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monitoring, sensing systems, instrumentation, or transportation infrastructure analytics. Experience working with data-driven technologies such as sensor networks, machine learning, or AI-enabled
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physics, particularly photodetectors or image sensors. Experience in at least one of the following: semiconductor processing, cleanroom fabrication, device modelling or TCAD, electrical characterisation
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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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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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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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quantum computing. We explore new ways to build sensors, such as continuous optical clocks, and collaborate with industry, startups and users to bring quantum technology to the market . This project is