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. The project aims at building large-scale AI accelerators for Large Language Models (LLMs), with a specific focus on Transformers. Diverse hardware optimization techniques can be used, targeting a scalable tile
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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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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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their first language and this must be evidenced at point of application. Additional Eligibility: In addition to satisfying minimum entry criteria, BU will look closely at the qualities, skills and background
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(Academic) score of 6.5 minimum (with a minimum 6.0 in each component, or equivalent) for candidates for whom English is not their first language and this must be evidenced at point of application. Additional
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biodesign skills and have experience in molecular biology methods. Familiarity to use liquid handling robots is desirable but not essential. Applicants whose first language is not English require an IELTS
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part-time study. For further information about modes of study, please contact us. If English is not your first language, you must fulfil our English Language criteria before the start of your studies
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their first language and this must be evidenced at point of application. Additional Eligibility: In addition to satisfying minimum entry criteria, BU will look closely at the qualities, skills and background
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language is not English require an IELTS score of 6.5 overall with a minimum of 5.5 in all sub-skills. International applicants may require an ATAS (Academic Technology Approval Scheme ) clearance