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dates : Oct. 23, 2025 – Jan 2, 2026 Positions: INFS 601 Foundation of Information Studies – Kimiz Dalkir– 1 position of 180 hours INFS 607 Organization of Information – Prof Gracen Brilmyer – 1 position
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instruments, and design as a form of inquiry and critique. August 25 to December 31, 2025. 100 hours. $37.34 per hour. Total salary of $3,734. TA for Architectural Modelling, Prof. Vardouli. Poste 1
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of Prof. Heidi Bohaker, Undergradaute Associate Chair and must include: • application form available at https://uoft.me/CUPE-3902-Unit-3-Application-Form • Updated CV • teaching evaluations
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 19 hours ago
Computer Engineering Fundamentals Algorithms for Computer Engineers Microprocessors Operating Systems Real-Time Systems Computer Security Electrical and Computer Engineering Design Engineering Design II
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headsets and sensors. - Provides technical support and troubleshooting for media production hardware and software use, including installation, configuration, and maintenance. This may/can include
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, Prof. Myers-Smith (Team Shrub research group) who specializes in global change ecology of northern ecosystems (Prof. Myers-Smith and the Team Shrub research group) and Dr. Warren Cardinal-McTeague who
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following conversations regarding resources and technical support. Studio coordinator: Prof. Avi Friedman Please note: This studio will be team taught which means that multiple instructors will be assigned
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and technical support. Studio coordinator: Prof. Michael Jemtrud Please note: This studio will be team taught which means that multiple instructors will be assigned to teach this course. Instructors
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resources and technical support. Studio coordinator: Prof. David Theodore Description du calendrier : Un studio d'études supérieures basé sur des projets axés sur l'intégration des compétences et de la
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machine learning algorithms. It also serves as a foundation for more advanced ML courses. The students will learn about ML problems (supervised, unsupervised, and reinforcement learning), models (linear and