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candidate will have a core background in electrical power systems, to teach the following subjects: - Power System Analysis - Protection and Control - Machine Applications This position is responsible for a
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diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and
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Sciences, Machine Learning, Mathematics, or a related field—or equivalent qualifications and demonstrated expertise in generative AI. Work Experience: Training in the following areas: Experience: Minimum
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Application Restrictions Job Type Open Learning Curriculum Development Closing Application Date 10/10/2025 Applications will be reviewed commencing the closing application date and may continue
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 10 hours ago
Design Students will develop skills in the areas of bitmap/vector graphics, audio/visual production and editing, 2D/3D modeling and animation, and video game design. Students will produce immersive
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projects across the following areas: Spatial and Single-Cell Proteomics in Childhood Cancer Cell-cell communication & cellular fitness in CAR-T & CAR-NK therapy Deep learning & LLMs in mass spectrometry data
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learning, offers powerful solutions to automate these tasks and provide reliable real-time information. This doctoral project is part of a 5-year research chair on Computer vision applied to the swine sector
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network connectivity. Implement machine learning models to detect patterns in large datasets and assist in predictive modeling. Develop and maintain custom scripts in Python or MATLAB to automate data
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. Excellent computer skills and experience teaching in learning management systems such as Brightspace/D2L are required. Job classification: INSTRUCTOR - S4001 Hourly Rate: $80.00 # of positions: 2 Position End
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organ-on-a-chip (OOC) models, colony picking and bioprinting). The ideal candidate should have strong expertise performing machine learning (ML), computational biology with the capability and/or