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exercising tact, discretion, and flexibility Assets (Nonessential): Proficiency with Python and SAS preferred Experience with AirTable To be successful in this role you will be: Communicator Insightful
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and data analytics techniques in a research or applied context. Hands-on experience working with Linux - advanced level. Experience programming in Python - advanced level. Practical experience working
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to script and program work flows in C++ and python and understanding and use of remote sensing and GIS programs is essential. Demonstrated experience utilizing a cloud computing environment such as AWS
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with programming in Python are assets, but not required. The Research Assistant will be responsible for all aspects of the research process, including Acquiring cognitive, behavioural, wearable and
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, or equivalent combination of education and experience Minimum five (5) years' experience in cloud infrastructure, platform engineering, or DevOps/SRE roles Strong proficiency in Python and Linux
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data analysis tools (e.g., R, Python), information management, and basic web or visual communication tools is an asset. Interest in sustainability, environmental research, and interdisciplinary
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of more than one computer operating system (Linux, Mac, Windows) is an asset. Knowledge of statistical software packages (e.g. R, Stata, SAS) is an asset Knowledge of programming software (e.g. Python) is an
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understanding of general equilibrium concepts Proficiency in at least one programming or statistical software package (Python, MATLAB, R, or Stata) Excellent critical thinking skills and attention to detail
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such as Computer Science, Software Engineering, and other related fields Knowledge of Python is considered an asset Solid command of the English language Knowledge of McGill campus and resources Ability
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data visualization; knowledge of databases and SQL are strong assets. Experience with Tableau is valuable in this position. Experience using statistical analysis and programming software (R/Python/STATA