714 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"Multiple" positions in Canada
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transformation initiatives. This role involves analyzing the structure, operations, and managerial methods of the IT Division to identify opportunities for improvement and building detailed business cases and
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Technology School School of Health & Life Sciences Campus Main Campus Detailed Job Description In order to ensure your application is received by NAIT for thorough review and consideration, please apply
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regulations. Connaissance de l'architecture et des règles de construction. Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in
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Intelligent Systems’ Top Ten, Science’s Top 10 breakthroughs, Presidential Early Awards for Scientists and Engineers. An IC Postdoc Fellow recently received a Fulbright from their extraordinary research while
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. The Opportunity The Business and Technology Services branch is seeking a Senior Business Systems Analyst who is highly motivated, innovative, and accountable with a strong understanding and knowledge of business
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creative approaches to help shape the narrative and structure of videos, podcasts and other audiovisual products. Engages with faculty members, graduate students, staff, and spinoff companies in producing
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to and take part in structural and organizational change and development, including modifications that might impact the units for which the incumbent is responsible. The ideal candidate for this position
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bills and payments and ensuring technology in boardrooms is functional and maintained. Monitoring and tracking all hardware, software, telecommunications and IT devices/connections in regional office
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competing deadlines. Availability to work evenings and weekends as required by event schedule. Assets (Nonessential): Familiarity with the University’s organizational structure. Proven ability to organize and
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or Software Engineering. ML & NLP: Preferably those with project experience in these areas. Priority given to coursework such as COMP 551 (Applied Machine Learning), COMP 345 (From Natural Language to Data