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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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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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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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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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) 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
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. If English is not your first language, you must have an IELTS score of 6.5 overall, with no less than 6.0 in each component. How to Apply To apply for a PhD studentship, applications must be made directly to
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of Science and Engineering at Swansea University, in addition to interfacing with the established Human-Computer Interaction (HCI) FIT lab. The candidate will be working alongside other researchers
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Funding providers: Engineering and Physical Sciences Research Council (EPSRC) and Swansea University's Faculty of Science and Engineering Subject areas: Intelligent Robotics and Natural