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the actuator. This involves understanding the physics of the motor, the load it is handling, and the role of the servo-controller in the system. The focus is on managing different fault scenarios efficiently
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Embarking on a pioneering journey, this project delves into enhancing real-time decision-making in evolving cyber-physical systems (eCPS), crucial in today's modern manufacturing landscape. Focused
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reasonable adjustments or support throughout the application process, please contact [email protected] or [email protected] . At a glance Application deadline26 Jun 2024 Award type(s)PhD
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Embark on a ground-breaking PhD project harnessing the power of Myopic Mean Field Games (MFG) and Multi-Agent Reinforced Learning (MARL) to delve into the dynamic world of evolving cyber-physical
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This PhD project offers a unique opportunity to delve into the complexities of free-market systems and sustainability through a novel ensemble prediction model. With a focus on addressing
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market structures. This PhD project focuses on designing a sustainable business or turning an existing business more sustainable by implementing circular practices incurs a range of holistic implications
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This fully funded PhD, sponsored by EPSRC and BAE Systems, will investigate predictive models for an application in the defence sector. Overview Conventional propellants degrade over time at rates
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or Human Factors and have completed a PhD in which these subjects have been significantly applied. You will have experience and have demonstrated competence in good social science research design and methods
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algorithms are used that allow a computer to process large data-sets and learn patterns and behaviours, thus allowing them to respond when the same patterns are seen in new data. This include 'supervised
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, access, technologies, perceptions and discourses converge in time and space to impact the health and quality of freshwaters. In this project, the PhD student will adopt a critical perspective on the cause