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Field
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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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cutting-edge computer vision, wearable sensors, and citizen science, RUN2GETHER will capture large-scale, real-world data during running events and group runs. These data will advance our understanding
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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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in eddy current sensor responses. This will involve both experimental work and analytical interpretation, linking EM signals directly to underlying physical mechanisms. Key research themes include
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technology for decarbonized mobility. However, their safe and sustainable deployment in dense urban traffic remains challenging due to uncertain vehicle–battery dynamics, sensor or actuator faults, critical
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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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, 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
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cutting-edge SERS microspectroscopy sensors to detect and characterize fungal secondary metabolites at single-cell scale? This PhD might be for you! Soil fungi are key drivers of global carbon and nutrient
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for autonomous optimization and design of materials, structures and processes Multimodal scientific AI – integrating language, images, sensor data and simulations Alignment for scientific AI – scalable oversight
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in power electronics, electronic paakging and system integration, reliability, sensors and instrumentation. Knowledge of one or more of the following areas:Power electronics, Reliability and failure