153 engineering-computation-"https:" "https:" "https:" "https:" "https:" positions in canada
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Job Category Miscellaneous Staff Job Title ORCA Invigilator (60 positions) Department Operations and Administration | Learning Technology Innovation Centre Posting End Date August 14, 2026 Note
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Staff - Non Union Job Category Miscellaneous Staff Job Profile Misc Staff Hourly - Invigilator/Proctor Job Title ORCA Invigilator (60 positions) Department ORCA Admin | Learning Technology
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, students, staff and members of the public. May supervise the work of Library staff and/or students in the provision of services. QUALIFICATIONS Required Masters-level degree from an accredited program of
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; proficient spelling and grammar skills; proven computer skills including keyboarding and proficiency with electronic medical records and Microsoft Office Software are essential. Confidence in the ability
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pushes the boundaries of science and engineering to make the impossible, possible. Every day we explore new ideas through innovative research and help companies discover possibilities that impact Canada’s
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projects and deliverables May supervise undergraduate students working on the AI/ML projects QUALIFICATIONS PhD (or equivalent) in Machine Learning, Computer Science/Engineering, Biomedical Engineering, or
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operate video conferencing equipment, printers, copiers, and computers. Flexibility, a positive attitude, and commitment to excellence are vital. Duties & Responsibilities Responsibility Percent of Time Key
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architecture, computer science, engineering, human–computer interaction, public history, and information technology. This diversity and commitment to multidisciplinarity have created a unique research and
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University (University of Ontario Institute of Technology), located in Oshawa, Ontario, is proud to encourage an interactive, information-sharing culture for our individual staff, and teams which enhance
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● Experience with mass filter and/or collision cell technology ● Previous work with metal stable isotope systems ● Programming skills and willingness to innovate and streamline data reduction