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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 19 days ago
annually, and is the primary support and a vital enabler of the teaching, learning, and research mission at UTM. The scope of IT support includes all end-user devices, classroom A/V, and associated software
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environment. Good judgment, tact, and diplomacy. Excellent problem-solving skills. Assets (Nonessential): Proficiency with StarRez software system Experience with hotel/hospitality property management software
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, supporting end-user computing, classroom technology, network, operating systems, hardware and software, as well as current and emerging technology solutions. In this role, you will serve as a first point of
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, materials and energy balance of individual units and of overall process flowsheets, use of computer software for flowsheet evaluation, translating process flowsheets to resource and utility requirements
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business requirements with information architecture needs for highly complex system integration Analyzing and optimizing database software Developing and maintaining quality control procedures Analyzing
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title: CSC491H1S - Capstone Design Project, LEC5101 Please note, this position is a 0.5 FCE appointment. Course description: This course is designed and delivered by industry experts from the Software
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programs such as donation campaigns and fundraising initiatives. Proficiency with Microsoft Office Suite Applications (Word, Excel, PowerPoint), Web content management (Drupal or other current software) and
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written and oral communication skills. Strong interpersonal and analytical skills; good organizational ability; initiative; judgment and tact. Good numerical skills required. Ability to use CAD software
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of caution around health and safety practices Assets (Nonessential): PhD in health sciences Experience with space planning software Familiarity with Temerty Medicine Research Spaces To be successful in
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of types of data, descriptive statistics, probability distributions, hypothesis testing, correlation, linear regression and analysis of variance will be covered. The course will be using the R software