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: Manages complex large datasets using a variety of statistical software and language Links, analyzes, and tabulates data for various studies by using data analysis software (e.g. R, SAS, SQL, Python, Stata
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. Candidate should have extensive knowledge of programming in Python, especially data management tasks and related libraries and/or should have taught the same course (teaching data management using Python
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. Candidate should have extensive knowledge of programming in Python, especially data management tasks and related libraries and/or should have taught the same course (teaching data management using Python
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(quantitative and qualitative). They must also have experience working with large datasets and producing high-quality data visualizations and linking agronomic and genetic factors. Experience in Python/R would be
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McGill University. Must know Python, and its AI/ML packages (such as Scikit-Learn) to analyze the data and can interact with the DataBase via SQL. Before applying, please note that to work at McGill
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: Online course planning, course material preparation Qualifications: - Must be a McGill student - Must be highly skilled in Python and R (to convert assignments from R to Python). - Must understand basic
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and grading keys • Holding office hours when required (before midterm & final) Qualifications: must have appropriate background in Information Systems, with general knowledge about Python. Hourly Salary
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GIS platforms, including some of QGIS, R, Python, and ArcGIS. Hiring Unit: School of Urban Planning Course Title and Course Number: Geographic Information Systems - URBP 605 Estimated Number
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): Analytics Environment Setup and Handling Python Environment Setup Proficiency with virtual environments: venv, or conda Package management: pip, and conda, IDE Familiarity Jupyter Notebooks (incl. JupyterLab
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necessary for collaborating with development teams to deploy applications. Demonstrated experience and proficiency with scripting languages (i.e., Python, PowerShell) for task automation and infrastructure