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pre-processing), mining dictionary data, and developing novel algorithms for time-sensitive word sense disambiguation (WSD) in Latin, contributing to the creation of a 100-million-token annotated corpus
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experiences to shape justice frameworks that are both empirical and conceptual. The project will apply this methodology in mining communities across Ghana, Chile, and Australia, focusing on Lithium and other
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experiences to shape justice frameworks that are both empirical and conceptual. The project will apply this methodology in mining communities across Ghana, Chile, and Australia, focusing on Lithium and other
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experiences to shape justice frameworks that are both empirical and conceptual. The project will apply this methodology in mining communities across Ghana, Chile, and Australia, focusing on Lithium and other
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large-scale data analysis, data mining and machine learning.�� Given the transdisciplinary nature of the team developing this programme, the role will primarily be based in CRASSH (the Centre for Research
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pre-processing), mining dictionary data, and developing novel algorithms for time-sensitive word sense disambiguation (WSD) in Latin, contributing to the creation of a 100-million-token annotated corpus
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pre-processing), mining dictionary data, and developing novel algorithms for time-sensitive word sense disambiguation (WSD) in Latin, contributing to the creation of a 100-million-token annotated corpus
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, which involves building a large corpus of Latin texts (data collection and pre-processing), mining dictionary data, and developing novel algorithms for time-sensitive word sense disambiguation (WSD) in
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. About you The ideal candidate has a quantitative and analytical background, with expertise in mining and critical minerals, familiarity with data analysis and data manipulation, and a keen interest in
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on the UK part of the project and will also collaborate with the other project partners: Prof Didier Torny (Mines Paris PSL, France), Prof Kean Birch (York University, Canada), Dr Anne Krüger (Weizenbaum