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The project: The deployment of generative AI—particularly Large Language Models (LLMs) based on transformer architectures—in industrial settings poses several critical challenges. Ensuring reliable
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of business models, financial analyses, and market adoption strategies for DT-based highway management solutions. An NDA protecting the commercially sensitive information of our industry partners will be
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effort between School of Engineering and School of Chemical Engineering at Aalto University supported by our industrial partners. The PhD student to be jointly supervised by two supervisors; Prof. Hamid
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including fuels, home care, personal care, agrochemicals, and oilfields. Innospec employs 2,400 employees in 22 countries with manufacturing and research sites in Europe and the Americas. Innospec’s major
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difficult for industry to predict and control product performance. This PhD project will tackle that challenge by applying advanced polymer characterisation techniques to better understand and quantify
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, supporting AI-powered electronics research. This project will be conducted within Cranfield’s Integrated Vehicle Health Management (IVHM) Centre, established in 2008 in collaboration with industry leaders
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£20,780 for 2025/26). Direct energy deposition with a laser beam (DED-LB) additive manufacturing has generated substantial interest in diverse industrial applications due to its potential for fabricating
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abundancy). Protein identification methods are not easily translated into a point-of-care (POC) testing given the laborious, time-consuming and sophisticated nature of currently available techniques. A POC
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to produce high-quality journal publications and scientific manuscripts. Experience presenting research clearly at international conferences and industry workshops. Proven ability to manage your time
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logistics providers, resilient forecasting and planning of logistics operations, management of sustainable logistics operations, next generation warehouse automation and others. The work will involve