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. The positions are fixed for 3 years. PhD Focus Area: Classification and Identification of Underwater Anomalies This PhD project focuses on enabling advanced underwater perception through multi-modal sensor fusion
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PhD position on Closed-loop testing for faster and better EM evaluation of complex high-tech systems
that you help us to solve that problem! The objectives are to develop a world-wide accepted new standard for testing large systems in RC, by comparing the newest fast EM sensor systems, comparing performance
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project and validated in offshore conditions. By unifying aerial, surface, and underwater data through intelligent sensor fusion and coordinated control, the system aims to provide improved situational
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the development and application of digital, robotics and sensor-based technology to address key challenges in ageing, which are to enhance cognition, promote independence and foster social connectedness
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or sensor arrays. Experience generating, processing and analysing large material property datasets including correlating between multiple techniques, or developing computational reconstruction techniques
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operating (Waterstromen) membrane-based wastewater treatment plants. As part of the UT team, you will develop a robust model predictive control (MPC) algorithm based on sensor and other system inputs that can
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are looking for a researcher to drive the preparation and analysis of new and existing large-scale wearable sensor datasets. You will be an integral member of the wearables group based at Oxford, led by Aiden
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of experience in the development of sensors for healthcare applications; Dr Diganta Das; Stephanie Edwards and Andrew Peers. Loughborough University has an applied research culture. In REF 2021, 94% of the work
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English) including official description of grading scale List of 1-2 academic references A writing sample, e.g., MSc thesis (or draft), BSc thesis, project report, or similar illustrating your work and your
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interaction and origins of mechanical failure under pressure. They should have expertise in microelectrode arrays and multilevel high-density routing for large-area sensor systems. Experience in multicomponent