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with MoniRail Ltd and Durham University. The primary focus will be on designing and implementing deep learning and anomaly detection algorithms to analyse large-scale, real-world sensor data collected
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Wireless Sensor Networks for Localisation in Indoor and Outdoor Environments School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova Application
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, characterisation and/or calibration of image sensors. Good understanding of, and demonstrable experience in, writing bespoke data acquisition and data analysis code and/or software algorithms with a focus on
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INHABIT hub is to understand how indoor environment and health of residents change during energy retrofitting to decarbonise the housing sector. The post-older will support the sensor deployment as
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and interoperability, and efficient processing and management of time-series datasets and metadata originating from IoT sources (such as environment sensors and meters) closer to the data provider
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of fingers, the shapes of the fingers, and the positions of tactile sensors), and the control policy for that hand, when given a particular task or set of tasks. Through this, we aim to develop a framework
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, develop and test a new set of fibre-optic based chemical sensors for simultaneous multi-parameter and multi-location water quality monitoring to assess ecological harm in river systems. The role is hybrid
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Multi-Sensor Data Fusion and Smart Decision Making School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova Application Deadline: Applications
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collaboration between the OU and Teledyne e2v (T-e2v), a world-leading manufacturer of scientific and industrial image sensors. The CEI is dedicated to conducting research into advanced imaging technologies
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Interplay between Algorithms and Combinatorics