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work in the UK, the University of Liverpool may be able to support your application for sponsorship under the Skilled Worker Route. Or there maybe the option to support your application under the Global
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on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine
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role: · The ε4 variant increases the risk of developing AD. · The ε2 variant lowers the risk, offering some protection. Recent research has also identified rare APOE gene variants, such as R251G (ε4) and
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Best Practice Guidelines. Aims and Objectives: Precise measurement of force production is required to allow rehabilitation and physical training staff to accurately measure functional status and muscular
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Best Practice Guidelines. Aims and Objectives: Precise measurement of force production is required to allow rehabilitation and physical training staff to accurately measure functional status and muscular
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AI models more interpretable and reliable by incorporating known constraints or physical properties. The successful applicants will be part of the Prob_AI hub and the School of Mathematics
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latitudes. Student profile: The project requires the student to be relatively proficient in Python programming to use and modify existing software, as well as for potentially developing new diagnostics and
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the collaborative interaction of the student and the supervisors who will actively participate in all stages of the project. Input data and training for the use of the code and global sensitivity analysis techniques
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
at scale? Digital twins offer a promising foundation, but to truly support engineering decisions, they need to go beyond simulation and begin to interpret and reason about the systems they represent
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conditions. SCR is part of the SLB technology and energy innovation organisation, employing approximately 98,000 people representing 160 nationalities and working in more than 120 countries. SLB strongly