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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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their breakdown products through chemistry, applied analytical chemistry and sensor technologies with the aim to deliver a new advanced detection tool. Alongside this, a machine learning approach will be
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, these systems serve as complex functional approximators trained over an input-output data set. ‘Second Wave AI’ is the term used to describe the current glut of 'machine learning' style intelligence, where
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, natural sciences, engineering, computational sciences or other scientific backgrounds. Candidates with strong mathematical, machine learning, artificial intelligence or modelling skills are welcome
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structural design, wave-tank experiments, energy system design, mooring design, machine learning, floating solar technologies, and previous experience of working in large international collaborations. Being
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related discipline. This project would suit individuals from a variety of backgrounds such as machine learning, statistics, and economics. Candidates with experience or keen interest in predictive modelling
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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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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
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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