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to delivery of predictive analytics and implementation of algorithms in care settings along with clinical, business and ethical challenges will be explored. In addition, an overview of the issues within
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Computer Science and expertise at the intersection of quantum computing and computer science. Topics of interest include, but are not limited to foundational and applied quantum algorithms, quantum cryptography
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properly, data needs to be centralized, sometimes from multiple jurisdictions, to achieve sample sizes appropriate for training algorithms. This creates challenges with data security and data flows (due
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of many teaching and research awards, with strengths in the Department including algorithms, artificial intelligence and machine learning, data science, bioinformatics, computational neuroscience