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Large Language Models (LLMs) are reshaping how we interact with language technologies, yet many questions remain about what these models actually “know” about language. The University of Exeter is
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address Dr Chunwei Xia: c.xia@leeds.ac.uk Co-supervisor’s full name & email address Professor Zheng Wang: z.wang5@leeds.ac.uk Project summary Large Language Models (LLMs) have profoundly transformed the way
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Applied Linguistics PhD Scholarships We are offering up to two PhD scholarships for applicants looking to start their studies in October 2025. Our focus for this application cycle is i
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One Research Associate position exists in the data-driven mechanics Laboratory at the Department of Engineering. The role is to set up a machine learning framework to predict the plastic behaviour of polycrystalline metals. The post holder will be located in Central Cambridge, Cambridgeshire,...
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address Dr. Chunwei Xia: c.xia@leeds.ac.uk Co-supervisor’s full name & email address Professor Zheng Wang: z.wang5@leeds.ac.uk Project summary Large Language Models (LLMs) have profoundly transformed
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Studentship to be based at the Centre for Competitive Advantage in the Global Economy (CAGE III) at the University of Warwick to commence in October 2025. The project will examine how language reflects
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Supervisors: To be determined depending on the candidate and topic Project Overview: Proposed projects should be within the fields of either Roman History or Latin Language and Literature, and
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physics. Further qualification such as an MRes is advantageous. If your first language is not English, you need an overall IELTS score of 6.5 (at least 5.5 in all sub-skills) or equivalent language
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or international equivalent in an appropriate subject, including: biomedical sciences, medical physics. Further qualification such as an MRes is advantageous. If your first language is not English, you need
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language technologies and to design transformative approaches to overcome them. The student will develop new methods for multilingual NLP that can be applied also to low resource languages. Research will