Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of British Columbia
- McGill University
- University of Toronto
- University of Saskatchewan
- National Research Council Canada
- Ryerson University
- Northern Alberta Institute of Technology
- Mount Royal University
- OCAD University
- SAIT Polytechnic
- The University of British Columbia (UBC)
- 1 more »
- « less
-
Field
-
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
-
& 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
-
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
-
McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 2 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
-
-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
-
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
-
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
-
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
-
characterization. Developing customized hardware and Python software packages to build SDLs. Selection, procurement, andinstallation of the equipment required for SDLs. Research Direction Working independently
-
designing novel instruments for automated material synthesis and characterization. Developing customized hardware and Python software packages to build SDLs. Selecting, procurement, and installation