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Field
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. Some field work is required for instruments, sensors and equipment setup to facilitate data collection. This position provides an excellent opportunity for the candidate looking to develop skills
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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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with UAVs for tackling wildfires, including modular, scalable methods with respect to the volume of collected data, to the number of UAVs, data sampling rates, number of sensors, centralised
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10 years of research experience. Proven track record in research and development of algorithms. Proficiency in algorithm development and programming skills using MATLAB or Phyton. Knowledge of machine
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way. We are dedicated to current research questions on automated and cooperative driving and combine a wide range of competencies in the fields of sensor technology, communication and artificial
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dynamic environments, including navigation in complex spaces. - Perception and Sensing: Leveraging diverse sensors and advanced perception techniques to interpret and interact with the physical world
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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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, 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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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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decision making, whole farm management, efficiency, productivity, profitability, and sustainability. Technologies used should include some of the following, UAS, robots, sensors, internet of things