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functions, as well as visualisation of multi-sensor data. You will also support the optimisation of full-stack automated driving pipelines and contribute to the design and evaluation of novel perception
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capabilities comprising vehicle-mounted sensors, drone operations, on/off-road robotics, high-precision geo-localisation, bio-signal data collection, X-ray security scanning, virtual reality and on-demand wide
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lead the design, statistical optimisation and validation of assays for clinically relevant bladder cancer targets. Their central objective will be to develop an algorithmic workflow to detect new target
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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
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robots and sensor networks increasingly use federated learning (FL) to train shared models across many devices without centralising raw data. In realistic deployments, however, each robot experiences
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develop advanced predictive maintenance solutions involving sensor integration, high-speed data acquisition, electrical and vibration signal analysis, anomaly detection, and health analytics for marine
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; multi-modal scene sensing and interpretation; pre-harvest fruit quality assessment; and perception algorithms for autonomous crop harvesting. We are particularly interested in applicants with experience
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of Oxford. The post is funded by United Kingdom Research and Innovation (UKRI) as part of the ACORN IAA and is for 12 months. The researcher will develop visual mapping and change detection algorithms
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acquisition, software development, and day-to-day technical execution of the project. Key Responsibilities Assist in the development, implementation, and testing of signal processing and imaging algorithms
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The job information is shown below. Please click on the links to see full details. Applications are invited for the position of Research Fellow in Algorithmic Sensing for Music to create a new