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: 00058330 Description: About us: The Department of Mechanical & Industrial Engineering is a large department, home to 70 research and teaching stream professors, and more than 2,000 students: undergraduates
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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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Date Posted: 07/04/2025 Req ID: 44082 Faculty/Division: Faculty of Information Department: Faculty of Information Campus: St. George (Downtown Toronto) Position Number: 00053318 Description: About
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. The successful candidate must hold a PhD in Statistics, Computer Science, Data Science, or a closely related discipline by the time of appointment, or shortly thereafter with a demonstrated a strong record of
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for teaching in this course will be $3,240.83, inclusive of vacation pay (prorated at 33%). Minimum Qualifications: PhD in physiology or related discipline and Quercus experience are required. Lecturing
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+), particularly in active learning environments, and experience in teaching computer programming, data science, or software design. Preferred Qualifications: include a PhD in an appropriate discipline (as above
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Knowledge of Student Information System (e.g., ROSI) Demonstrated experience working with large data sets/queries (e.g., Rocketshuttle, SQL) Excellent analytical, organizational, and interpersonal skills
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highly confidential reviews of research integrity complaints and research misconduct allegations that involve human participants or their data. Essential Qualifications: Education: Master’s degree in a
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University of Toronto Faculty of Information Sessional Lecturer Fall Term 2025 (September - December) MSL2326H – Artifact, Audience, Text: Writing in the Museum Course Description: This course will
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maintaining a large amount of highly sensitive and confidential information. Experience handling enquiries from faculty members or instructors in an academic setting. Experience drafting, compiling and