1,208 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"NOVA.id" positions in Canada
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Research Assistant 1 position is based in Prof. Narges Armanfard's research lab in the department of Electrical and Computer Engineering. This Research Assistant role supports the development of AI-based
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activities in a classroom, virtual, laboratory and industry setting Participate in curriculum development, program reviews and course reviews Facilitate the learning process by utilizing instructional
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with the research community to build broad support. A key responsibility will be to contribute to the development of an institutional OS framework aligned with the Vice-President, Research and Innovation
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breakthroughs and technology cluster development in the region. The Scale Up Program supports local ventures by matching them with a collective of seasoned entrepreneurs, venture capitalists, and C-level
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
team and the Office of the Registrar as a whole. The Advisor contributes to the development of enhanced services for students to promote retention and improve the overall student experience. Your
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, agroecology) on biodiversity in Quebec. Supports the development and adaptation of indicators to evaluate biodiversity impacts, including the use of Essential Biodiversity Variables (EBVs) and other ecological
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opportunities, and support learning development for residents Monitor, tabulate, and report resident vacation/sick/time away from the program Assist in process for residents in difficulty, liaising with
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unit leader. Uses a variety of software. Maintains computerized information systems and participates in their development to improve efficiency within the unit. Maintains and updates administrative
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for monitoring, alerting, and observability frameworks (e.g., Prometheus, Grafana, or ELK). Ensure scalability, security, reliability, and cost-efficiency across development, staging, and production environments
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lead projects, including the design and development of: Machine learning tools (radiomics, neural networks) to improve head and neck reconstruction outcomes. Virtual reality applications for patient