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advancing the science underpinning sustainable, healthy and liveable cities of the future. This frontier research employs largescale digital datasets, artificial intelligence and statistical methods
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, computer science, artificial intelligence, or mathematics/statistics, with a PhD in one of these fields or a closely related field, and interested in applying this skillset to the analysis of music data. The place
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digital datasets, artificial intelligence and statistical methods to quantify urban environmental metrics (e.g. emissions, air pollution and greenspace) and urban dynamics in unprecedented accuracy and
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in computational musicology, digital humanities, computer science, artificial intelligence, or mathematics/statistics, with a PhD in one of these fields or a closely related field, and interested in