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mathematical and statistical background (signal processing, time-series analysis, machine learning, mixed-effects/longitudinal models, diagnostic-accuracy statistics). Scientific writing: Demonstrated ability
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and Title: MMF1941H1F: Dynamic Data Science (Section LEC 0101) Course Description: This course explores advanced data science techniques applied to dynamic, time-series, and streaming data, with a
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prediction, control systems (e.g., PLC), ML model deployment, and time series sensor data analysis are assets. • Excellent communication skills and ability to work in a multidisciplinary team. Duration of
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 1 month ago
) notebooks and related diagnostics to visualize bias reduction, profiles, time series, and other model performance indicators. Prepare analysis-ready products, technical documentation, figures, reports
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demonstrate expertise in mathematics for machine learning, applied machine learning, data science, and time series analysis. The successful candidate should be capable of teaching a range of courses, from
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solutions to meet current and future protection requirements and remains current with security threats and industry technology trends for SOCs. Leads the definition and documentation of best practices