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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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Supervisory Team: Dr. Muhammad Burhan Hafez (Lead Supervisor), Professor Adam Sobey PhD Supervisor: Muhammad Burhan Hafez Project description: The integration of Large Language Models (LLMs
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About the Project This PhD project aims to develop personalised conversational systems by leveraging user simulation, supported by recent advancements in large language models with their strong
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endeavour is to leverage Large Language Models (LLMs) in a language-vision framework to mitigate the risk of AF utilising ECG image data digitised from paper records in conjunction with relevant clinical data
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will cover Home or International tuition fees plus an annual tax-free stipend of at least £21,237 for 4-years full-time. Project Description: Recent advances in sequence prediction with large language
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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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/Qualifications Candidates must hold an undergraduate degree at 2.1 level in Computer Science; Mathematics; Linguistics or Psychology/Cognitive Science (with evidence of programming and/or NLP/computational
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) are behind their peers in educational attainment and in language development through to adulthood, and do not get as much benefit from auditory technology as adults. We are seeking to recruit a curious and