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, engineering computation, operational research, management science and applied statistics, FinTech, data science and machine learning. There are currently 56 academic staff and about 154 research personnel in
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at the interface of computation and biology, supported by strong institutional commitment and cutting-edge infrastructure. Research areas of interest include: • Development of novel AI and machine learning
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computation, operational research, management science and applied statistics, FinTech, data science and machine learning. There are currently 54 academic staff and about 105 research personnel in
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