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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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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
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Learning), COMP 345 (From Natural Language to Data Science), COMP 550 (Natural Language Processing). Data Science in Python/R: Preferably those with project experience in each language. Location