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ourcombined teaching and research excellence in the humanities, sciences and social sciences across 29 departments, seven colleges and 46 interdisciplinary centres, institutes and programs. For more information
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 days ago
assignments. The major project for the course will involve a large health data set that teams will compete to analyse. . Estimated course enrolment: 19 Estimated TA support: 40-50 Class Schedule: Specific
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. Our mission is to provide the best educational experience for a diverse student body, which includes a large number of part-time and non-traditional students. In addition to being a locus of student
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and trade-offs involved in meeting the needs of the students, the faculty and the University. They work with and through all groups to build and maintain the Department of Computer Science’s leadership
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circumstances impacting success Providing detailed information on program and/or course eligibility requirements, procedures, policies and deadlines; analyzing service delivery and/or internal processes and
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preparedness Preparing detailed risk assessment analysis and making mitigation and safety practices recommendations Writing reports on findings from lab inspections Probing for information from clients to assess
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database Assets (Nonessential): Data entry skills with ability to work with large databases To be successful in this role you will be: Efficient Multi-tasker Organized Problem solver Procedural Team player
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the research objectives of AC faculty and industry partners. Using SDLs to synthesize and characterize large quantities of candidate molecules, calibrating theoretical models with experimental data, predicting
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characterize large quantities of candidate molecules, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine learning algorithms, and
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characterize large quantities of candidate molecules, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine learning algorithms, and