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Innovation (R+I) in accordance with the unit’s goals and objectives while ensuring coherence with the University’s research mission. The role of the incumbent is primarily planning, managing, development and
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and scalable pipelines (e.g., using Snakemake, Nextflow, or custom scripts). Automate common data processing workflows in bash, R, or Python. Maintain version control using GitHub and contribute
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). Advanced Statistics: Preferably graduate students in Statistics. Data Science in Python/R: Preferably those with project experience in each language. AI/Society: Preferably those with programming experience
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: Department of Biology (Professor Brian Leung) Position Summary: Literature searches in the field of environment and ecology. Data processing such as extracting and cleaning data in R. Assist with interpreting
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). Advanced Statistics: Preferably graduate students in Statistics. Data Science in Python/R: Preferably those with project experience in each language. AI/Society: Preferably those with programming experience
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. • Familiarity with data dashboarding softwares such as R, Python, Excel, etc. • Strong organizational and analytical skills • Interest and/or background knowledge in sustainability is a plus Before applying
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applied statistics is an asset. Required Skills • Proficient in statistical software (R, SAS, STATA, or similar), • Experience with large-scale administrative and insurance databases, • Knowledge about
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Knowledge : interest in the study of livestock behavior and welfare Operational skills : dataset analysis and coding in R McGill University is an English-language university where most teaching and research
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epidemiology. Strong statistical background, including knowledge of Bayesian statistics and mathematical modeling techniques. Ability to code complex analyses in R, including data visualizations. Excellent
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date: September 1st, 2025 End date: December 22, 2025 Position Summary: - Assist the instructor in delivering the interactive and dyadic teaching materials (this will include statistical programing in R