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), through the development and application of a digitalized Health Management Architecture – Platform for aircraft (machine learning based algorithms could be employed to process the data provided by
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. As industries increasingly rely on machines and automation to improve efficiency and reduce costs, ensuring the reliable operation of components like electric actuators becomes vital. This is
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This PhD project will investigate the recent field of study of Causal Machine Learning, which aims to modify and augment Machine Learning by using Causal Analysis techniques as a way to solve its
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to meet customer and legislative requirements. This can include: Physically preparing and constructing static and dynamic test rigs. Performing mechanical workshop machining tasks, including welding
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for Autonomous and Cyber-Physical Systems. About the Role Our reputation for leading in the field of digital systems: sensor data and signal processing for position, navigation and timing, and machine learning
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and timing, and machine learning, has been established through active research in this field. The research group you would be joining is focused on the research of AI-enhanced emerging satellite-based
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greenhouse gas emission levels and align these to sector standards. About You This role requires knowledge of Data Science, software development, along with AI/Machine Learning technology. Knowledge of event
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to an industry funded project, led by a major company involved with earth moving in open cast mines. You will be responsible for the development of a real-time Bayesian machine-learning-based prognostic method
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be concerned with studying the effects of EA on common military ground and air platforms and investigate methods for increasing attack and protection. The project will allow the student to acquire
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automated security systems that can detect and respond to dangers in real-time. With this opportunity, you will explore into cutting-edge technologies such as artificial intelligence, machine learning, and