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epidemiology and biostatistics. Advanced knowledge of R, Python, SAS or other coding language for data management and epidemiologic analyses. Advanced experience linking and working with provincial
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computer software packages (e.g. Microsoft Office) for lab documentation, data entry and analysis. Proficiency in computational analyses, including running tools on the command line, python programming, R
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669/670 (Text Analytics) and RETL 613, with responsibilities focused on both technical and instructional support. Duties will include assisting students with Python programming, data preparation, text
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Skills and/or Abilities Able to work in a team. Capacity to navigate large code bases. Good time management skills. Programming: React, Kotlin. Python and R an asset. Web: HTML & CSS. Enrolled in the Work
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laboratories in the development, evaluation and characterization of engineered materials and/or hydrometallurgical processes. Recent experience in writing automated data analysis/data handling scripts in Python
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optimized for single-molecule mechanical manipulation. Develop, refine, and implement automated data analysis pipelines using Igor Pro (or MATLAB, Python). Mentor graduate and undergraduate students within
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. Experience with automation/orchestration/scripting tools (e.g., bash, Python, Ansible, MDM). Experience with web application management, security and monitoring (e.g., WordPress). Experience with cloud
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, electrochemical reactors, and thin-film materials; Strong publication record, particularly in fields of thin-film materials, electrochemical reactors, and self-driving labs. Experience with Python, C/C++, UI/UX
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programming skills, with experience in R, Python or comparable scientific computing environments. · A record of rigorous research and peer-reviewed publication appropriate to career stage. · Ability to work
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Learning), COMP 345 (From Natural Language to Data Science), COMP 550 (Natural Language Processing). Advanced Statistics: Preferably graduate students in Statistics. Data Science in Python/R: Preferably