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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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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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operations. The PhD will develop and implement artificial intelligence and data-driven methods for early anomaly detection, root cause diagnosis, and failure prediction on industrial systems, leveraging
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of Pharmacy, UCC, led by the Professor of Pharmaceutics, Brendan Griffin is aiming to develop Artificial Intelligence (AI) and machine learning tools that can accelerate the creation of medicines for conditions