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data analytic approaches such as artificial intelligence (AI) and machine-learning to address this complexity are of particular interest. McGill University has an international reputation in excellence
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leadership roles within large, interdisciplinary projects. Understand and personally champion equity, diversity and inclusion through the development of research relevant to marginalized communities, and the
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algebra Familiarity with the tidyverse suite of R packages Experience with Rmarkdown and LaTeX Having already taken POLI 618 is a large asset Willingness to learn how to design replicable materials
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align with the program’s streams: (i) artificial intelligence and machine learning; (iii) applied data science (big data analytics, databases, data mining, etc.); (iii) cybersecurity. The selected
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and specialized techniques on laboratory animals, • Provides information to PIs and Research staff concerning animal health, administration of treatment, techniques and animal use protocols, • Performs
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procedures Participate in the analysis of university-wide records requirements including compliance, information management and organizational and operational impact Analyze overall effectiveness with respect
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. Qualifications: A doctoral degree in epidemiology Knowledge of advanced epidemiologic methods Strong data manipulation and analytic skills using statistical programming software, e.g., SAS Demonstrated ability
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information to PIs and Research staff concerning animal health, administration of treatment, techniques and animal use protocols, • Performs husbandry and technical duties related to the care and maintenance
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systems, ensuring strict compliance with Quebec laws regarding access to information. Engage in broader faculty life, including participation in strategic committees and events, and actively promote a
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focusing on computational integration of large-scale functional and comparative multi-omic datasets, tool development and AI approaches are especially encouraged to apply. The successful candidate will be