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skills (e.g., MATLAB, C++, Python). Experience with electronic circuits, PCB design, and associated CAD tools. Qualifications: 3rd year or 4th year students in Computer Engineering, Electrical Engineering
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or more of the following backend languages: Java, C#, JavaScript (NodeJS), Golang. Data analytics and programming skills (e.g., MATLAB, C++, Python). Working knowledge or familiarity with the following will
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considered. Experience in working with the Unix/Linux environment. Proficient with Python, R, or other coding languages. Experience handling NGS data including quality control/quality assurance. Knowledge
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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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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
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Koziarski Lab - The Hospital for Sick Children | Central Toronto Roselawn, Ontario | Canada | about 1 month ago
machine learning-related discipline. Strong publication track record in top ML, computational chemistry, or computational biology conferences and journals. Proficiency in Python, demonstrated through
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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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basic scripting in Image J, Matlab and Python - Excellent attention to detail and record keeping - Excellent time and project management skills Before applying, please note that to work at McGill
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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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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