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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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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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systems and data acquisition using LabView and Python. Condition of employment Reliability Status For a Reliability Status, verification of background information over a period of 5 years is required
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 1 month 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
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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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monitoring. Familiarity with computational image analysis, scripting (Python, MATLAB), or machine learning–based image workflows. Experience with method development, imaging assay optimization, or pipeline
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, Engineering, Health Informatics, Data Science, or a related discipline. Strong, demonstrated proficiency in Python for data engineering or software development applications. Demonstrated ability to act as a
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Proficiency in Microsoft Office and experience with statistical software (R, STATA, SAS, or Python). Strong organizational, communication, and time management skills. Ability to work independently and
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Qualifications Experience with hyperspectral data acquisition and analysis, including Python-based workflows. Familiarity with machine learning, data integration, and advanced visualization tools for exploration