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This self-funded PhD research project aims to develop smart sensors based on low-frequency resonance accelerometers for condition monitoring of ultra-speed bearings. The developed smart sensors will
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reactions and processes. RESOLV’s mission stretches from fundamental research to the translation into applications such as green technologies or smart sensors Open doctoral positions in the Cluster
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functionalities, studying their dispersibility, interaction with the matrix, and associated phenomena. Planned applications include sensors, optoelectronics, and security markers, with the goal of transferring
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Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and resilience-informed design
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on sufficient and sufficiently clean water. However, we often lack the data to fully understand the dynamics of contaminants throughout the urban water cycle. Existing sensors for water quality monitoring do not
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and adapted tools for the processing of signals or images acquired with biomedical sensor networks (cardiology, neurosciences) or in geosciences (seismology and marine ecology), but also in wireless
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description Cities depend on sufficient and sufficiently clean water. However, we often lack the data to fully understand the dynamics of contaminants throughout the urban water cycle. Existing sensors
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drones equipped with high-resolution cameras and multispectral sensors” of the Department of Mathematics. Reference: I-PI 69-25 Pursuant to the provisions on the regulations governing calls
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are: Incorporation of CMOS compatible transition metals in thin-film synthesis, gearing towards GHz SAW excitation Sensoric study of the acousto-NEMS for harsh environments Study of the acousto-NEMS in quantum regime
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of Higher Education and Research (MESR). PINNACLE: Physics-Informed Neural Networks for Accelerated Cloud Light-Scattering Emulation Artificial intelligence is profoundly transforming atmospheric