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and making recommendations to the Senior Manager and when directed implement control revisions required to resolve system deficiencies. Primarily responsible and accountable for Building Automation
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learning, robotics, laboratory automation, and materials discovery and will be delivered across numerous platforms, including micro-credential programs, academic courses, hands-on workshops, lectures, and
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statistical analysis. Familiarity with Agile/Scrum, version control (Git, Azure DevOps), and BI testing frameworks. Experience with Power BI REST API, PowerShell, or Python to automate deployment, metadata
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 22 hours ago
in standard office computer applications (e.g. Microsoft Word, Excel, Windows OS) and familiarity with computerized Building Automation Systems or other computerized control systems. Other: Must have
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(or similar) role, preferably in a higher education setting Demonstrated experience administering and supporting Windows and Linux servers, including command-line interfaces and system administration
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Automation Systems or other computerized control systems. Other Must have: good diagnostic and record keeping skills, the ability to communicate effectively (both orally and written), strong customer service
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, basic proficiency in standard office computer applications (e.g. Microsoft Word, Excel, Windows OS) and familiarity with computerized Building Automation Systems or other computerized control systems. Other
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 21 days ago
in standard office computer applications (e.g. Microsoft Word, Excel, Windows OS) and familiarity with computerized Building Automation Systems or other computerized control systems. Other: Must have
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, Biocompatibility (organ-on-a-chip), and Synthetic scale-up of materials and molecules. A central AI and Automation lab to support all the SDLs This posted position is for a Staff Scientist within SDL0: AI
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grant will provide the Acceleration Consortium with seven years of funding to execute its vision. The AC is developing seven advanced SDLs plus an AI and Automation lab: SDL1 - Inorganic solid-state