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Field
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, the traditional statistical methods are not suitable for big data due to their certain characteristics: heterogeneity, statistical biases, noise accumulations, spurious correlation, and incidental
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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
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the rise of metabolomics and resulted in the generation of an unprecedented quantity of data. This marks an inexorable shift of the field into the realm of “big data,” necessitating the development of
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manuscripts based on the project data for publication in international peer-reviewed journals. The position offers opportunities for co-authorship with members of the BIG PEACE research team, alongside
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Primary supervisor Aamir Cheema Research area Databases and Distributed Systems This project aims to harness big data from ubiquitous smartphone sensors to reduce the impact of road transport on the
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after stroke and use of high-risk medicines · Integrated health and aged care · Rehabilitation for older people The PhD will provide the candidate with skills in epidemiology, big data
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Primary supervisor Lan Du Co-supervisors Joanne Enticott Research area Data Science and Artificial Intelligence As a pregnancy approaches term (the point at which the foetus is considered fully
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Primary supervisor Lan Du Co-supervisors Joanne Enticott Research area Data Science and Artificial Intelligence As a pregnancy approaches term (the point at which the foetus is considered fully
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as to whether they can compete given the mega-infrastructure and ability to upgrade that is available to the big players (OpenAI, Anthropic etc). There are many research questions that can be
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as to whether they can compete given the mega-infrastructure and ability to upgrade that is available to the big players (OpenAI, Anthropic etc). There are many research questions that can be