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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 1 day ago
) a record of excellence in research and teaching in degree granting program. Native or near-native proficiency in Italian and the demonstrated ability to successfully work in an English-medium academic
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executing qualitative and/or quantitative research methods Designing surveys, interviews and other research tools for program evaluation Preparing draft statistical reports and summaries from data collected
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solicitation efforts, including direct mail, email and telefundraising Experience performing data extraction, data analysis and reporting. Computer literate in Microsoft Office software (especially in Excel) and
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multi-task. Excellent communication skills (verbal and written). Accurate data entry and attention to detail. Highly developed computer skills including Word, Excel, PowerPoint, Outlook and SharePoint
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architecture Analyzing and writing program scripts to extract, reformat and analyze data Designing, testing, and modifying programming code Evaluating programming code to ensure it has validity, compatibility
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/ financial policies and procedures. Experience managing staff in a unionized environment. III. SKILLS: Advanced personal computer skills, particularly Excel. Experience with data visualization tools e.g. Power
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
information for program planning and improvements to CTL client services. You will participate as a tester and/or trainer in development and implementation projects (including AODA compliance) and contribute
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Date Posted: 10/10/2025 Req ID: 45464 Faculty/Division: Temerty Faculty of Medicine Department: MedIT Campus: St. George (Downtown Toronto) Position Number: 00057577 Description: About us: Home to over 40 departments and institutes, the University of Toronto's Temerty Faculty of Medicine lies at...
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chemistry, biochemistry, microbiology, cell biology, and computer programming, relying on microfluidics. Experience working with members of the PI’s research group and collaborators to strategize about
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organ-on-a-chip (OOC) models, colony picking and bioprinting). The ideal candidate should have strong expertise performing machine learning (ML), computational biology with the capability and/or