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Departments This placement is for two fixed-term, full-time Post-Doctoral Researchers (ASR-Senior Research Officer), one in the Department of Government and one in the Department of Language and
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principally requires expertise in Python programming and strong experience in software development and deployment. Prior experience developing AI applications using large language models would be beneficial. A
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with an excellent track record in knowledge graphs and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models, graph
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offer, however please note that some on campus working is required. Your skills and attributes for success: PhD in Linguistics or a related discipline (completed, or submitted and awaiting examination
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the public with access to personalised content summarisation and content authenticity verification services. The project will be based on the Large Language Models (LLM) and the state-of-the-art diffusion
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financial language model. Endow the language model with statistical intelligence, facilitate online learning, and explain empirical findings to a human. This post is full-time (35 hours per week). Your skills
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at the PDRA level must have a PhD in Computer Science or a related field. Candidates must have substantial knowledge in Deep/Machine Learning, Large Language Models (LLMs) Natural Language Processing and
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About the Role The School of Languages, Linguistics and Film is looking to appoint a Postdoctoral Research Assistant to work closely with Principal Investigator on an ERC funded project entitled
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Are you an ambitious early-career researcher looking for your next challenge? Do you possess a Ph.D. in Computational Linguistics or related area? Do you have a keen desire to further our
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related. Experience of code development in a major programming language (such as C, C++ or Java) is essential. Experience of phylogenetics software development, use of high-performance computing