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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
. This PhD project will tackle that challenge by developing intelligent methods that combine AI techniques such as language models that interpret technical text and knowledge graphs that map engineering
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to talented prospective or mid-study students towards their PhD studies in Research and Development Management. Tenable period Up to three years (pro-rata for part-time students) Continuation of award
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of the complex physics governing the interaction between the heat source and the material. Additionally, it seeks to develop an efficient modelling approach to accurately predict and control the temperature field
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of work as a case study. The candidate will develop a practice-based methodology to analyse, critique and respond to the living history of the company, resulting in the creation of taxonomical scores
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to the analysis of time series. In particular, the project will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show
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will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show challenging properties of uncertainty, irregularity and
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Description: This PhD project offers an exciting opportunity to co-develop and pilot a systems-based, interdisciplinary framework for circularity assessment in the water sector. Working closely with Anglian
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applications. The research project aims to explore the integration of 2D materials, such as graphene and post-graphene structures, into PFAS-free formulations to develop multifunctional coatings for porous
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would co-develop the research objectives and select the methods to be implemented with supervisory support. Some ideas to discuss include integrating repeat GEDI LiDAR surveys with time-series
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The All-Wales Intensive Learning Academy for Innovation in Health and Social Care has been developed to deliver a world-class learning, research and teaching base that will equip leaders with