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Field
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information retrieval, multimodality sensemaking, question answering and chain-of-thoughts. The Research Fellow will work on a project to conduct the research on development of multimodal large language models
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cell and molecular biology studies using mice and primary cells. Documents results of experiments and reports to principal investigator. Conducts literature searches and summarize information for ongoing
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following fields: Large random matrices Machine Learning Job Requirements: PhD degree in statistics or related areas. Experience in random matrices or machine learning Strong written and verbal communication
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optimization, or privacy/security research in data sharing would be a plus; Experienced in using the latest machine learning, AI, and big data platforms; Excellent interpersonal communication and oral
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using models of the shipping system, shipping big data, and social science analysis of the policy and commercial structure of the shipping system. The research group’s multi-disciplinary work is
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using standard software (e.g. Stata, R) and experience of analysing large longitudinal datasets. Experience analysing administrative data from health, education or children’s social care would be
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leverages advanced AI and data analytics to optimise Heating, Ventilation, and Air Conditioning (HVAC) systems and enhance overall energy efficiency. This innovation represents a transformative force in
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submitted no later than six weeks after taking up the position. Find more information about taking a PhD at the Arctic University of Norway in the PhD-guide from Tromsø Doctoral Students (TODOS). Inclusion
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relying on creating value from complex image data. The PhD position is affiliated with Innovation Medicine and Health. The work will be done in collaboration with user partners of Visual Intelligence
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Intelligence (AI4CI https://ai4ci.ac.uk/ ). AI4CI is a large consortium of leading UK universities and industry partners that will develop new AI for smart collectives, with case studies in environment, urban