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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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Language Models, Transformer based analyses of complex time series, and Foundational models for simultaneously undertaking multiple healthcare tasks. You will also be responsible for identifying
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of working with SQL, in AWS and its native tools would be of interest but not essential for the role. Knowledge of a statistical programming language, preferably R as it is desirable. The post holder will
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. Experience with using the programming language R is desirable. The candidate must have excellent organisational, communication and problem solving skills. Evidence of a successful track-record in research and
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participatory social research, qualitative research methods 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
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culture, organoid differentiation and the programming language R is desirable. Furthermore, the candidate must have excellent organisational, communication and problem-solving skills. A successful track
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relevant quantitative discipline (e.g. Bioinformatics, Computer science, Genetics/Genomics, Computational Biology or Data science). Experience programming in a high-level scripting language (R or Python
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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