357 data-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData"-"BioData" positions at University of Toronto
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internal contacts to resolve accounting, payroll and/or HRIS processing issues Identifying and analyzing data discrepancies and taking necessary actions to correct errors Preparing detailed data analysis
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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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communication skills and capable of communicating effectively with a variety of stakeholders and clients. Strong computer skills working with and using various Word, Excel, and PDF documents. Sound problem-solving and
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and asset services to 13,000 clients within the GOS. You must also have strong communication skills to provide clear and concise information to clients and staff. You will have knowledge of current IT
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of our programs. Your responsibilities will include: Providing detailed information on program and training requirements Providing student support by acting as the first point of contact for general
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) and provide leadership support to translate the Financial Strategy and Services Department’s vision into practical improvements across finance processes, technology and system usage, and data management
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data and business support services to all of the Faculty’s units. The Office models, plans, and implements the Faculty’s operating budget and provides Faculty-wide support and advice on the management
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health who wish to work collaboratively to shape and shift digital health policy and use of data and digital technologies to enable broader health system change and transformation. This course is
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. The anticipated start date is September 1, 2026. This is a two-year limited term position with possibility of renewal. Our research group works on superconducting circuit devices for quantum information processing
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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