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University of Toronto Faculty of Information Sessional Lecturer Summer Term 2026 – Session Y (May – August) INF2179H – Machine Learning with Applications in Python Course Description: Machine
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& Reporting Stack Architect, develop, and maintain a bilingual (English/French) open-source decision-support dashboard using Shiny for Python/R, compliant with current accessibility standards (WCAG, keyboard
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to apply Python-based processing tools to analyze brain imaging and simulated time-series data. The incumbent ensures that data is processed accurately and that the resulting codebases are organized
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pipelines (MATLAB, Python, R, JMP) Plasmid engineering and molecular construct design (site‑directed mutagenesis, multi‑fragment cloning, promoter engineering) Flow cytometry and cell sorting Lentiviral and
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characterization. Developing customized hardware and Python software packages to build SDLs. Selection, procurement, andinstallation of the equipment required for SDLs. Research Direction Working independently
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designing novel instruments for automated material synthesis and characterization. Developing customized hardware and Python software packages to build SDLs. Selecting, procurement, and installation
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Experience with monitoring, logging, and operational support tools used to maintain service reliability and performance Experience with scripting and automation using languages such as Python, Bash, Go, or
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. Programming experience in MATLAB and/or Python for data analysis, batch processing, or workflow optimization is an asset.
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 11 days ago
in R, SQL, Python Proven ability to work collaboratively in team environments and independently on research projects. Strong scientific writing and communication skills, supported by a robust
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Software Developer, Federated Research Data Repository, Lunaris, Information and Communications Tech
in Research, Library and Data Centre Technologies in ICT. Duties and Responsibilities: Design, develop, and maintain software applications. Currently using Java, Python and Javascript. Occasional Ruby