632 data "https:" "https:" "https:" "https:" "UNIV" positions at University of Toronto
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, budgetary materials and/or complex data sets. What we offer Dynamic, challenging work for talented individuals; A competitive salary; Comprehensive benefits package, including pension; Vacation, scheduled
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; Assembling briefing and background materials in preparation for meetings, ensuring all relevant information is readily available to the management team; Managing incoming and outgoing correspondence, ensuring
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for gift agreements, provides information relating to donations and strategic business directions, drafts confidential correspondence relating to University business decisions, provides information and
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. This position is based in our Regina office. In this role, you will be responsible for conducting in-depth research and providing comprehensive policy and data analysis to support key initiatives aimed
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reasonable timeframe; Support, write and execute scripts using a variety of tools; and Verbally and in writing explain or present information to a wide variety of technical and non-technical individuals and/or
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recording experimental data in shared databases or electronic notebooks Preparing laboratory equipment, and assisting with set up including arranging service and maintenance when needed Preparing reagents
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 1 day ago
including admissions, registration, timetabling and enrollment Knowledge and administration of various collective agreements Excellent computer skills, including in-depth knowledge and experience with Word
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responsibilities will include: Providing detailed information to residents on program and/or training requirements Coordinating the CaRMS application process and interview schedules Verifying and reviewing Royal
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Writing routine documents and correspondence Collating and organizing data for various reports Scheduling travel plans and requesting appropriate accommodations Maintaining information on digital platforms
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Engineering side, research areas include Operations Research, Information Engineering, Human Factors, and Applied Machine Learning, all of which seek to improve the systems we as humans rely on to navigate our