362 coding-"https:" "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" uni jobs at University of Toronto
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2026 (Sept-Dec) | Sessional Instructional Asst. | RSM489H1 | Business Abroad - Intl Experience Learn
experience, previous experience, and previous satisfactory employment under the provisions of this collective agreement. Application Procedure: For detailed information on the application procedure go to https
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that data and biosamples are accurately collected, coded, and maintained in accordance with research ethics and institutional standards. Your ability to communicate effectively and provide supportive
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Vitae and the CUPE 3902 Unit 3 application form, available at https://uoft.me/CUPE-3902-Unit-3-Application-Form to [email protected] Please use the subject line Application for Sessional Lecturer
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responsibilities will include: Supporting research initiatives through literature reviews, data collection, database maintenance, data analysis, and quantitative research coding Coordinating project meetings
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for interventions to prevent such complications (e.g., prophylaxis for venous thromboembolism, bundles for preventing central-line associated infections, bar-coding to prevent medication administration errors
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of code to ensure accuracy, consistency and standards are met. Your responsibilities will include: Building and maintaining websites Configuring website hosting platforms Troubleshooting and resolving
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complaints requiring a third party investigator. The Consultant, Workplace Investigations & Human Resources is familiar with the Occupational Health & Safety Act, the Ontario Human Rights Code, and all
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into technical designs that reflect operational needs Developing, testing, modifying, and evaluating complex programming code to ensure validity, compatibility, security, and adherence to standards Overseeing
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that staff at all levels are motivated and engaged. Working closely with colleagues in Facilities and Services (F&S) to ensure compliance with training, safety and code requirements, leverage campus-wide
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interest in and practical experience with emerging digital technologies, such as generative AI, large language models, AI agents, workflow automation, low-code/no-code tools or related technologies; formal