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for the Science of Early Years and Youth at UEL A funded PhD position is available to work on a project exploring the impact of indoor and outdoor learning environments on children’s language and communication, and
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exploring the impact of indoor and outdoor learning environments on children’s language and communication, and how AI can be used to analyse speech and language in this type of research. The project will
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for the Science of Early Years and Youth at UEL A funded PhD position is available to work on a project exploring the impact of indoor and outdoor learning environments on children’s language and communication, and
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criteria include: Knowledge of the later Middle Ages as relevant to the project Palaeographic and linguistic skills to be able to work with relevant medieval manuscripts Interest in the core themes of
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R is essential; interest in deterrence and international security challenges is desirable. Scandinavian language skills are an asset. The candidate must have the right to live and work in the
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, or a related discipline. Be familiar with differential equations and have some programming experience (preferably in Python). If English is not your first language, provide evidence of proficiency
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in the majority of people with Alzheimer’s disease, particularly in posterior cortical atrophy (‘visual-led dementia’) where these symptoms precede loss of memory, language and insight. People with
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R is essential; interest in deterrence and international security challenges is desirable. Scandinavian language skills are an asset. The candidate must have the right to live and work in the
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large language models (LLMs) through retrieval-augmented generation (RAG). The successful candidate will work at the intersection of information retrieval, natural language processing, and machine
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on what Large Language Models have told them, and content created by archives is a part of what is used to train LLMs. LLMs have biases presenting problems in dealing with sensitive historical material, and