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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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new experimental capability will be developed to generate bespoke distortion patterns that could be encountered in complex aero-engine intakes. By deploying state-of-the-art AI and machine learning
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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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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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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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the infiltration of pollutants into car cabins (and thus reduce the exposure of the occupants) or to identify areas where they can accumulate (areas to be avoided by pedestrians and cyclists) depends on these issues
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connectivity and flight dynamics, incorporating Artificial Intelligence (AI) and Machine Learning (ML) to develop innovative prediction mechanisms. The primary goal of this project is to design advanced
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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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years. What will you Learn? As a PhD student, you will have the opportunity to develop strong independent thinking and research skills, focusing on qualitative research methodologies and ontology
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Cranfield’s Advanced Vehicle Engineering Centre is inviting applications to study for a PhD in battery modelling and management for electric vehicles. Several projects are on offer, covering