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the second year and some conference attendance in the second and third years. Overview Forming an independent project in its own right, this PhD studentship in applied linguistics orFrench (applied
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Recently, Large Language Models (LLMs) have seen huge advancement. QinetiQ is developing an AI Assurance Framework, to allow such tools to be responsibly utilised by UK Defence and other government
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Department/Location: Faculty of Modern and Medieval Languages and Linguistics, Cambridge Applications are invited for a three-year PhD Studentship based in the Section of Theoretical and Applied
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Applications are invited for a three-year PhD Studentship based in the Section of Theoretical and Applied Linguistics at the University of Cambridge. This studentship, starting on 1 October 2024, is
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PhD Supervisor: Dr. Zhanxing Zhu Supervisory Team: Dr. Zhanxing Zhu and Dr. Stuart Middleton Project description: Recently, large language models (LLMs), such as OpenAI’s ChatGPT and Google’s Bard
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-effective alternative to the UK-CCI by applying machine learning and NLP techniques to articles published in leading UK newspapers. The linguistic analysis of text in Economics and Finance has become very
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Unit : Faculty of Wellbeing, Education and Language Studies (WELS) Salary : Stipend: Approximately £18,622 per annum Location : Milton Keynes Please quote reference : PHDSTUDENTSHIP/WELS/GOC Closing
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. This project aims to develop machine learning models to predict a particle shape and size for a given chemical formulae and crystallisation method. Extractive Language learning models developed will be able
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language or who do not possess a degree from an educational institution using the English language for instruction, candidates must meet the minimum IELTS requirement of an IELTS average of 6.5 or above
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to gain, a minimum 2:1 Honours degree or international equivalent in a subject relevant to the proposed PhD project which is computer science. Applicants whose first language is not English require an IELTS