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language for reproducible spatial data analysis and modelling (e.g. Python, R, or other relevant approach); general understanding of urban spatial data, and ability to manipulate and visualise this data
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puts you at the heart of a cutting-edge project developing a large language model (LLM) specifically for insurance. Working alongside a highly skilled team, you'll ensure ethical development and
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analysis, transport, financial markets, health and pandemic preparedness. AI4CI researchers at University of Exeter will develop “smart agent” tools that use large language models and generative AI
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and/or oral history are highly desirable. Language skills relevant to the Kenyan project areas are an added advantage. You will be expected to meet regularly with other project members and travel
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Are you interested in the intersection between neurodivergence, language processing and spirituality? Would you like to be part of a team of academics from psychology, philosophy and religious
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transmission dynamic modelling Knowledge of R programming language Experience in communicating research findings to specialist and non-specialist audiences Experience in publishing academic research, with
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language. Experience in working across different spatial scales and working with Geographic Information System will be highly desired. If you would like further information or an informal discussion about
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scales of the state. Fluency in Portuguese is a necessary skill since the Research Assistant will gather and analyse sources of information in this language. The Research Assistant will participate in core
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, preferably Idris, and working with dependently-typed language architectures and evolving them and experience in developing meta-theories for dependently typed languages, preferably observational and
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scales of the state. Fluency in Portuguese is a necessary skill since the Research Assistant will gather and analyse sources of information in this language. The Research Assistant will participate in core