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Field
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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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, Effects, and Criticality Analysis (FMECA), functional FMECA, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault
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will lead the natural language processing and language modelling aspects of the project, focusing on how sensor-derived motion data (from radar) can be transformed into linguistically meaningful BSL
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vehicle (AV), allowing for automated detection, prediction, mapping, and planning. During the vehicle’s operation, data is obtained through a myriad of sensors in an AV—including RADAR, LIDAR, cameras, and
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these interfaces, we will enable the development of advanced energy systems and electronic devices, including high energy Li/Na batteries, all-solid-state batteries, sensors, switch, electrochemical transistors
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intelligence and sensors to promote autonomy, quality of life and cost reduction, facing challenges such as safety and technological risks. The main objectives and tasks to be developed during the period of
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, human factors usability evaluation, and design/visualization to develop applications that optimize combat casualty care. These projects include augmented/mixed reality systems, headset/sensor evaluations
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driven predictive models to improve optimisation, consistency and overall yield. The main focus for this role is to work with the driven research team who are at the forefront of sensor technologies
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About the job To lead the technical development, optimisation, validation, and field deployment of a smart optical nitrate sensor platform within the School of Chemistry and Chemical Engineering at