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: Mathematics and Statistics Department Position Summary: Conduct a research project on methodological development of contrastive learning approaches for dimension reduction techniques (e.g., t-SNE, UMAP). Review
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, and explainability; developing unbiased algorithms and responsible data use; addressing the social impacts of AI and IT-induced biases; equitable compensation policies; combating labour discrimination
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to present complex data in an accessible and actionable manner. Develop and apply machine learning algorithms to analyze data and extract meaningful insights. Implement real time monitoring and processing
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