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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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that are contributed by BON in a Box collaborators. This includes understanding the analysis with support from publications, the team and the contributor, testing pipelines with different parameters, fixing R and python
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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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skills Ability to work with nuclear industry data Good understanding of the nuclear sector in Canada Proficiency in at least one programming or statistical software package (Python, MATLAB, R, or Stata
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Fortran, Python and Matlab Statistical data analysis and visualization Communicating research results in written papers, reports and oral presentations Education: Bachelor’s degree, or equivalent training
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 8 days ago
the system. Performing various administrative tasks related to the project. Qualifications: Undergraduate student in engineering, computer science, physics, or a related field Programming skills (e.g., Python
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-language scientific and technical programming, including Python, C++, Java, Embedded C, LaTeX, and Swift, for developing algorithms, simulations, and research workflows. Skilled in research methodology
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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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to new tools, methods, and subject areas; - Have experience working with digital trace data, survey data, or other quantitative and qualitative research methods; - Have working knowledge of Python, R