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stated in the collective agreement shall prevail. Minimum Qualifications: Bachelor’s or Master’s Degree in Architecture (or related design discipline) and relevant professional experience in computation
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, Computational Biology, or a related field. • Experience in data engineering, AI/ML systems development, or related applied research, with a track record of handling large-scale biological or clinical datasets
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. Should possess a doctoral degree in a relevant discipline or equivalent professional experience, 2. Must demonstrate currency and mastery in the course subject matter; 3. Must demonstrate excellence in
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 5 days ago
experiment will be covered in a 1-hour lecture each week. Number of Positions (est): 1 Course Enrolment (est): 120 TA Support (est): TA support provided for practical and tutorial sections and marking
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in relevant area of study or equivalent professional and/or academic experience required. Preferred Qualifications: Relevant academic or professional publications and previous experience teaching a
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 1 month ago
out duties; and possess excellent communication skills and professionalism. Preferred qualifications: Teaching experience preferred Relevant criterion: Previous experience is the more relevant criterion
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must be submitted to Academic Jobs Online: https://academicjobsonline.org/ajo/jobs/32408 . Deadline for applications is October 1, 2026. The expected starting salary range for this position is $135,000
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supervising of trainees Providing other support as required by the research team The PDF will be supervised by Dr. Matthew Mitchell, who leads the Mitchell Multifunctional Landscape Lab (https
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accordingly. Applicant must have: A PhD in wildfire science, forestry, atmospheric or climate science, geography, or a related discipline. Demonstrated experience with fire behaviour modelling systems (e.g
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exceptional circumstances, applicants without a Master’s degree but with significant research or professional experience related to the course content may be considered). Experience Expert knowledge of course