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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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): 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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network connectivity. Implement machine learning models to detect patterns in large datasets and assist in predictive modeling. Develop and maintain custom scripts in Python or MATLAB to automate data
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. Minimum five years recent and related experience Demonstrated experience in infrastructure automation coding using scripting (Bash, Python, PowerShell or equivalent) Demonstrated experience in maintaining
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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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Python or R and web development to create software, process genomic data, and implement machine learning solutions that assist clinicians in advancing cancer diagnosis and classification. REPORTS TO Dean
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, preferably in Information Systems, is a plus. Candidate should have extensive knowledge of programming in Python, especially data management tasks and related libraries and/or should have taught the same
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like Python and Bash. Experience with container technologies, especially Docker, Podman, Kubernete and Apptainer. Understanding of cloud computing in general. OpenStack experience is an asset. Knowledge
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either R or Python programming, including working knowledge of relevant generative AI/ML packages, libraries, and frameworks. First-authored academic publications relevant to generative AI at leading
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analytics for reporting ensuring conformity with metadata standards some code development (PHP and Python primarily) will be required in support of these systems This position reports to the Manager, Database