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of the Faculty of Forestry. The production and distribution of inaccurate, inconsistent or ineffective information could have a significant detrimental effect on the Faculty’s ability to compete for research
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establishment environment is preferred. Knowledge, Skills, & Abilities: Ability to develop and work with large clinical (e. g. registry data), research or administrative databases. Ability to effectively use MS
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 1 month ago
setting in progressively senior positions. Experience working with large databases, including extracting, evaluating and manipulating data for reporting and analytical purposes using query tools and/or
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highly confidential reviews of research integrity complaints and research misconduct allegations that involve human participants or their data. Essential Qualifications: Education: Master’s degree in a
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of outstanding teaching abilities evidenced by data, testimonials and other forms of documentation related to teaching large lecture courses in myth and related areas of Greek and Roman culture. In addition
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information systems and program initiatives. The incumbent will engage with stakeholders to understand current business processes and identify optimal strategies for transitioning these processes, workflows
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an animal facility with small (canine, feline, avian, and some exotics) and large animals (bovine, equine, caprine, ovine, porcine) which exposes employees to animal dander, waste, and unpredictability; and
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. Assets (Nonessential): Experience in a research or academic environment, particularly in handling large and complex scientific datasets. Knowledge of data modeling, schema design, and data architecture
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with large-scale clinical data systems is an asset. Experience with Patient and Public Involvement and Engagement in research approaches is an asset. Demonstrated data analytics and statistical
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with large-scale clinical data systems is an asset. Experience with Patient and Public Involvement and Engagement in research approaches is an asset. Demonstrated data analytics and statistical