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demonstrated expertise in the development of modern statistical theory and methods, or closely related aspects of data science, machine learning or artificial intelligence more broadly. Additional experience
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best practices and research methods, including the ability to apply an equity lens to analyses. Experience with LimeSurvey and Qualtrics survey tools. Demonstrated expertise in quantitative data analysis
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taking into account a global pandemic outbreak such as COVID-19 and ESG and Sustainability Metrics. Students will learn enterprise valuation methods, how law firms use project management in M&A matters and
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in the field of Statistics. The position, open as of August 1st, 2026, is targeted towards candidates with demonstrated expertise in the development of modern statistical theory and methods, or closely
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quantitative and qualitative analytical methods. At ease working with data visualization tools such as Power BI, Tableau, etc. Experience with developing and monitoring Key Performance Indicators (KPIs
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421 Rock Mechanics Estimated Number of Positions: 1 Total Hours of Work per Term: 84 Position Summary: Leading tutorial and hands-on computer modelling sessions Qualifications: Requires public speaking
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established networks and relationships. The intention is for this work to lead to research and policy-related funding applications and possible program development. The RA role is ideal for a student with
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methods; Be a McGill graduate student with appropriate academic background INFS 620 Managing Information Organizations 2 positions, 90 hours each Duties: Interact with students Respond to students’ queries
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ability to meet deadlines, excellent sense of initiative, excels at working with others, and attention to detail. Training in and experience with qualitative research methods (specifically conducting
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using a variety of analytical tools, including Google Analytics. Research, recommend, code and design effective templates for various digital assets, such as program webpages, program shells in Destiny