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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
relationships, together with deep domain expertise. These methods open new possibilities for extracting and connecting knowledge at scale. The goal is to enhance digital twins with the capability to interpret
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This post is full-time, hybrid and fixed term for 12 months The Grantham Research Institute on Climate Change and the Environment (GRI), based at the London School of Economics and Political Science (LSE), is
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an appropriate subject (including Computer Science, Physics, Maths, Engineering) Knowledge of modern machine learning techniques and experience with coding in Python is beneficial (but not a strong requirement
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. It is essential that they are knowledgeable in current behaviour change science and techniques and specifically have experience of designing topic guides and administering in-depth, semi-structured
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difficulties), and neuropsychological sequalae such as cognitive difficulties (memory and new learning, executive function, attention, processing speed, cognitive fatigue etc.), and difficulties with regulating
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A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on Novel Materials for Stratospheric Aerosol Injection (Dispersal). The post holder will be located in
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will be helpful to have a working knowledge of multi-phase flows, and in particular of abrasive slurries. The applicant will have obtained or be close to obtaining a PhD in Chemical Engineering, Colloid
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will be helpful to have a working knowledge of multi-phase flows, and in particular of abrasive slurries. The applicant will have obtained or be close to obtaining a PhD in Chemical Engineering, Colloid
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A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on Novel Materials for Stratospheric Aerosol Injection (Dispersal). The post holder will be located in
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. The developed new knowledge will assist performance designs, analysis, operations, and condition monitoring of sCO2 power generation systems. The project will be undertaken using the strong thermodynamic