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evaluation, policy advocacy, or better understanding the contexts and causes of such abuse. The student will use advanced data science and applied statistics to enable combined analysis of different modes
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
intelligent methods that integrate large language models (LLMs) and knowledge graphs to interpret technical documentation and structure complex engineering knowledge. The goal is to create digital twins
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arising (e.g. new types of oscillatory phenomena). In addition, a much larger number of scenarios need to be investigated due to increasing uncertainty in power system operation and lack of knowledge
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Research Assistant/Associate in Photonics Integration of Graphene and Related Materials (Fixed Term)
engineering and nanotechnology, and it will require the realization of novel devices for wide range of applications such as photodetectors, optical modulators, optical amplifiers, lasers, biosensors etc. based
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applying ML techniques in science and engineering is to accelerate knowledge discovery. It is very much not convenient and time consuming for a user to dive into the ML ocean, searching new techniques
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spaces and habits for them. This is a highly interdisciplinary project that combines computational modelling and behavioural science. The first part will be based on the use of state-of-the-art
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and Language Sciences, including our Speech and Language Sciences subject area. The postholder should have a PhD in a relevant discipline e.g. Speech and Language Sciences, Education, Psychology
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question including identification of the knowledge gaps, clearly identify the aims of the research and briefly detail the methodology and resources required. If candidates do not have a specific research
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About us UCL Mechanical Engineering is a leading department committed to advancing engineering excellence for a sustainable future. We are home to a vibrant community of academics, researchers, and
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to develop your knowledge and skills on autonomous cubesats with impactful applications in planetary defence. You should have a PhD (or near completion) in space engineering, computer science or an equivalent