1,766 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions in Canada
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Application Restrictions Open to both Internal and external Job Type Open Learning Faculty Member Posting In effect from 10/4/2026 Closing Application Date 23/4/2026 OLFM Type Regular Continuous
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, biochemistry, molecular biology, protein engineering, computer science, artificial intelligence/machine learning, biophysics, nanotechnology, etc., are encouraged to apply.
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. Introduction to the Big Data Era & Opportunities for Better Health Care: May 12 to July 29, 2026 2. Health Data and Visualization: June 23 to Sep 10, 2026 3. Health Data Analysis and Machine Learning: Aug 4
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to the Big Data Era & Opportunities for Better Health Care: Dec 29, 2026 to Mar 15, 2027 2. Health Data and Visualization: Feb 16 to May 5, 2027 3. Health Data Analysis and Machine Learning: Mar 30 to June 17
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degree in computer science 2 years of experience in machine learning research and development Strong background in generative AI Expertise in deep learning, generative AI, reinforcement learning
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 11 hours ago
program development and evaluation. Must have strong computer skills, including the use of Microsoft Word, Excel, PowerPoint, Adobe Acrobat, and email software, as well as an ability to adapt to and learn
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successful careers and life-long learning. In addition to hosting a wide range of professional development workshops, events and services throughout the year, the ECC team runs a work-integrated learning
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seeking a Senior Analyst specializing in artificial intelligence and data analytics to support researchers across a wide range of disciplines in the effective use of advanced computing and machine learning
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believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment
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SAIT, our IT Services team collaborates across the institution to shape smarter, more connected ways of teaching, learning and working. We’re strategic thinkers, problem-solvers, and innovators who turn