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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 from in-service
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++ programming skills. Knowledge of various aspects of drone applications in agriculture including UAV types, sensors, regulations, power systems, communication technologies, and image processing algorithms
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. Evaluate optimal sensor placements and perform coupling measurements before and during each observation run of the LIGO Scientific Collaboration. Develop techniques and algorithms to characterize and remove
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administrative activities, adapt existing and develop new methodologies in robotics, design working algorithms from theories, deploy and test algorithms on hardware as appropriate, and analyse data from a variety
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, but also in traffic monitoring or in the media context, for example when it comes to automatic metadata extraction and audio manipulation detection. Another focus is the development of algorithms
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decision making, whole farm management, efficiency, productivity, profitability, and sustainability. Technologies used should include some of the following, UAS, robots, sensors, internet of things
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sensor and IoT systems deployed on unmanned robots and drones, these algorithms are tailored for rapid response scenarios, such as the release of biological, chemical, or radiological hazardous substances
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sensor and IoT systems deployed on unmanned robots and drones, these algorithms are tailored for rapid response scenarios, such as the release of biological, chemical, or radiological hazardous substances
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, whole farm management, efficiency, productivity, profitability, and sustainability. Technologies used should include some of the following, UAS, robots, sensors, internet of things, artificial
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AI/ML for Object Tracking and Sensor Fusion, you will develop next-generation algorithms that power intelligent aerial systems—enabling real-time object tracking, multi-sensor data fusion, and