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the School of Physical Sciences at the Open University. The CEI is a collaboration between the Open University and Teledyne e2v, a world-leading manufacturer of scientific and industrial image sensors. The CEI
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with the latest sensors (camera and LiDAR sensors), is available for the work. What you will do – development of algorithms for 3D multi-object tracking based on heterogeneous sensor data fusion
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contribute to research and development efforts focused on creating accurate digital twins, improving anomaly detection models, and integrating visual data with spatial sensors like RGBD and LiDAR. This role
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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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engineering and proficiency in information technology, with particular emphasis on computer networks, network system security, the Internet of Things, sensor networks, Windows and Linux operating systems, web
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Research Associate with background in irrigation, loT, and sensors to conduct research on developing an innovative irrigation management technology for field crops and specialty crops. The primary duties
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have designed and introduced new control laws into Trent gas turbine engines and developed algorithms monitoring fleets of 100s of engines flying all around the world. During the PhD, you will have the
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domains for applications to the mining industry and beyond. We have an opportunity for a passionate and skilled research scientist to design and develop cutting-edge algorithms and fused sensor systems
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, telecommunications, and scientific research. Instrument Development: Design and construct scientific instruments, including cameras, spectrometers, imagers, radar systems, and sensors for space missions and planetary
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, navigation technologies, autopilot systems, and electronic warfare capabilities. Explore innovations in sensors, actuators, flight instrumentation, data acquisition systems, and communication systems