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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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students enrolled in a graduate program at McGill University (preferably in Bioengineering, Mechanical Engineering, or Biological and Biomedical Engineering . Some experience with Python coding Knowledge
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to maintaining high data quality standards Problem‑solving skills and adaptability to dynamic project needs and field conditions Proficiency with data analysis tools (e.g., R, Python) are considered an asset
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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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data visualization. The candidate should have experience with programming and data manipulation in Python. Experience programming and training convolutional neural networks for computer vision
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). The Bioinformatics Analyst position corresponds to junior members of the team with expertise in large-scale genomic analyses, software development using R and Python, and High-Performance and Cloud computing
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SQL Server and experience with Python are an asset Criminal record check will be required Department: Info & Communications Tech, Enterprise Arch & Data Management Status: Term CSPIP 16 month internship
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in the course. Must be familiar with programming in Python. Must be willing to interact with students in the lab. Must also have good command English language and must possess good communication skills
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Wildland Fire Behaviour course is an asset; Computer and data analysis skills (eg. Word processing, Excel, citation/reference management software, programming skills in R or Python are considered an asset
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 28 days ago
, including data manipulation, descriptive analytics, basic statistical analysis, and data visualization. Experience using common analytics tools and programming environments such as Python, R, Excel, SQL