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of a vestibular-inspired neuromorphic microchip (VEST-CHIP) designed for real-time, ultra-low-power bilateral sensor processing to enable continuous monitoring in wearable — and potentially implantable
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on effective and safe inspection and maintenance. Current maintenance approaches rely primarily on turbine sensor data, meaning that human and organizational factors are largely overlooked. This represents a
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of maintenance. The project aims to develop an integrated decision-support framework that combines inspection images, sensor data, and engineering interpretation to enable more transparent, evidence-based
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environmental monitoring data and access to Fjordlab marine research infrastructure at NTNU Ålesund, enabling validation of models using real-world observations and sensor networks. The postdoctoral fellowship
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and sensor data analysis Experience in remote sensing with satellites Experience in analytics in biogeochemistry, microbial ecology, and field work in aquatic environment Experience in Python, GIS
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Commitment to carry out research in Trondheim Experience in implementing in-situ water quality measurements and sensor data analysis Experience in remote sensing with satellites Experience in analytics in
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interest since 2000. It allows us to better plan our cities, and new approaches have been made possible with the widespread use of smartphones carrying several different sensors. As a matter of fact, in most
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ecosystems. This can be data collected about the marine environment from, e.g., satellites, using passive or active acoustic sensors, or underwater video/images from AUVs. The research will be done in
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of measuring accumulated fatigue damage in steel structures prior to crack initiation, particularly in the high-cycle fatigue regime. The research focuses on developing a novel NDT-based technique and sensor
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floating laboratories in the project. The research will involve processing and analyzing large volumes of operational data from onboard systems, including propulsion, navigation, environmental sensors, and