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strategic department events). Organizational Status Athletics & Recreation (A&R) is a department within the VP Students portfolio, with a strong focus on creating an exceptional UBC student experience. The A
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Canada Excellence Research Chair in Sustainable Agriculture for Grape and Wine Professor or Associat
funds. If research infrastructure is required, candidates may also apply to the Canada Foundation for Innovation’s John R. Evans Leaders Fund (JELF), in alignment with CERC timelines. For more information
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
assist with set ups for special events and exams; p) cleans escalators and elevator interior and exterior; q) locks and unlocks doors as directed; and r) other related duties as required
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, or an equivalent combination of education and experience. Proficiency with statistical software (e.g., R, SPSS, SAS, STATA) and data visualization tools (e.g., Tableau). Knowledge of SQL, relational databases, and
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. The direct link is: https://forms.office.com/r/ah4pRCCj4x . This includes submitting an updated Curriculum Vitae and the CUPE 3902 Unit 3 application form available at https://uoft.me/CUPE-3902-Unit-3
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investigation interfacing between user and vendor Maintain software codes (mainly R scripts) that interact with REDCap and/or OpenSpecimen Consequence of Error/Judgement The Data Coordinator receives direction
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creates the necessary conditions for a rewarding career. Job Summary Cooks and prepares meals in accordance with a menu plan. Organizational Status Athletics & Recreation (A&R) is a department within the VP
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relevant to diverse datasets. Experience with genomics, multiomics, big data and machine learning an asset. Is willing to learn new techniques and novel analysis methods for application. Skills in R required
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software (e.g., SPSS or R) for quantitative projects and NVivo for qualitative analysis. Draft data summaries, reports, and visualizations for internal and external dissemination. Communication and
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work independently and autonomously Proficiency in programming languages such as SQL, Python or R and datavisualization tools Assets (Nonessential): Experience working with startups, technology companies