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, reaction prediction, condition optimization, retrosynthesis, interpretable machine learning, nature language processing for data-mining and human-robot interfacing, and generative models (e.g. GANs, VAE, and
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prediction, reaction prediction, condition optimization, retrosynthesis, interpretable machine learning, nature language processing for data-mining and human-robot interfacing, and generative models (e.g. GANs
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 6 hours ago
of Management and Professional Accounting Program (MMPA) and may also teach in other IMI programs where their expertise aligns. Candidates must demonstrate experience in preparing students
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MS Teams Foundation Service is an asset Possesses a solid understanding of IT concepts and technologies, which includes familiarity with programming languages, databases, data analysis tools and
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 6 hours ago
Date Posted: August 1st, 2024 Closing Date: August 15th, 2024 - 11:59 PM EST Req ID: 39084 Faculty/Division: School of Graduate Studies Department: Master of Biotechnology Program Campus: UTM
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executing qualitative and/or quantitative research methods Designing surveys, interviews and other research tools for program evaluation Preparing draft statistical reports and summaries from data collected
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the Collective Agreement shall prevail. Minimum Qualifications: include at least a Master’s degree in Leadership, Engineering, Applied Linguistics or Second Language Education with strong written and oral communication
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Faculty of Law is one of the oldest professional faculties at the University of Toronto. Today, it is one of the world's great law schools. The Faculty's rich academic programs are complemented by its many
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combined teaching and research excellence in the humanities, sciences and social sciences across 29 departments, seven colleges and 46 interdisciplinary centres, institutes and programs. We can only realize
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that identifies potential areas for improvement in engineering communication. Assessors will then tutor and support students individually in their development of professional language and engineering communication