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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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professional activities Curious mind-set with a strong interest in biomolecular chemistry Good language skills *************************************************************************** Application and
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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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developments in generative AI (large language models) with symbolic systems (here proof-assistants) via a neuro-symbolic architecture. This takes advantage of AI systems with different strengths: generative AI
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communication skills, especially in written English. Strong work ethics. Ability to think creatively and work independently. Applicants whose first language is not English require an IELTS score of 6.5 overall
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. Applicants whose first language is not English require an IELTS score of 6.5 overall with a minimum of 5.5 in all sub-skills. The studentship covers fees at the Home rate (UK and EU applicants with pre-settled
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The goal of this project is to develop new methods for assisting mathematical discovery, by leveraging recent developments in generative AI (large language models) with symbolic systems (here proof