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Technology Services department handles all software and hardware needs, as well as technological and networking issues for both employees and students who rely heavily on computer systems across our campuses. Technical
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contribute to the management of long-term eddy covariance flux tower infrastructure, fieldwork coordination, data analysis, mentoring students, and the publication of high-impact research outputs. The role
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procedures (e.g., multilevel modeling, longitudinal data analysis, machine learning algorithms), cleaning and structuring large datasets, validating model assumptions, and ensuring reproducibility. Synthesizes
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. The successful candidate must hold a PhD in Statistics, Computer Science, Data Science, or a closely related discipline by the time of appointment, or shortly thereafter with a demonstrated a strong record of
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staff administration as required Ensures licensure requirements are in order for out-of-province residents. Provides information about requirements and processes as required. Develops tools and processes
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outstanding customer service by assisting and advising researchers during both the pre-award and post-award project phases. Provide information and guidance to researchers on existing or potential large and/or
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with data analysis in large ERP systems and/or large data sets is required, including demonstrated ability to build reporting tools, performance indicators and other analytical tools. Ability
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Loading / Chargement... Help Dashboard Dashboard Dashboard Recruiter Login English English We are sorry this posting does not have information in your chosen language Organizational Change
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also work with the Division of University Advancement to encourage alumni to stay engaged with the University of Toronto community at large. The Senior Alumni Engagement Officer will need to be
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on promoting advances in person-centered care. The successful candidate will be part of a large, academically successful rheumatology unit with a clinical role aligned with divisional and departmental priorities