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(inclusive of PhD and/or post-graduate work) in accelerated research and development in the area of development and application of machine learning/deep learning methods for biological or chemical data
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of Professor, with an anticipated start date of July 1, 2026. We seek candidates conducting research on climate data science that draws together observations, models, and machine learning. Candidates must have a
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Experience with designing and delivering data science courses and professional development programs at a post-secondary institution (e.g., programming, data analysis, data visualization, machine learning
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industry/upskilling educational programs, course designs, and developing workshops for STEM subjects, including but not limited to machine learning, robotics, laboratory automation, and materials discovery
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
/Mississauga-2025-26-FallWinter-Sessional-Lecturer-Positions-ON/594938417/ ------------------------------- CCT111H5S Critical Coding This experiential learning course introduces students to the practice and
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must have earned a PhD degree in Psychology or a related area by the time of appointment, or shortly thereafter, with a demonstrated record of excellence in research and teaching. We seek candidates
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technical subjects such as programming, data science, machine learning, and algorithmic fairness is highly desirable. Candidates must have teaching experience in a degree-granting program, including lecture
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 months ago
or similar production, development and design courses at the undergraduate level required. CCT286H5S Interactive Media Design This course provides students with the opportunity to learn the skills necessary
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. Applicants should have expertise in the application of statistical methods in data science, machine learning, or artificial intelligence. Experience must include the preparation and delivery of course content
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Course description: A half-year capstone design course in which students work in small teams to apply the engineering design, technical, and communication skills learned previously, while refining