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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 4 hours ago
artificial intelligence from a philosophical perspective. Topics include: the nature of intelligence, comparisons between biological and artificial learning, linguistic understanding and grounding in
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to, Communication, English, Applied Linguistics, Engineering, Education, Technology Studies) with strong written and oral communication skills, and a demonstrated commitment to teaching communication and demonstrated
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, Medical Education, the Office of Learner Affairs (OLA) is dedicated to working with and supporting learners from the Temerty Faculty of Medicine’s undergraduate medical education (MD and MD/PhD
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: include a PhD in an appropriate discipline (as above), familiarity with engineering communication practices and/or training in second-language instruction at the university level and/or experience as an
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degree in an appropriate discipline (such as, but not limited to, Communication, English, Applied Linguistics, Engineering, Education, Technology Studies) with strong written and oral communication skills
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tools and techniques are designed everyday to perform data analysis in quick and robust ways. This course covers the fundamentals of data science using the R language and environment for statistical
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. Candidates must have earned a PhD degree in Speech-Language Pathology, Communication Sciences and Disorders, or a related area of research by the appointment date or shortly thereafter, with a demonstrated
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 4 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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, 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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, materials science, life sciences, physics, engineering, robotics, computer science, applied mathematics or related discipline Experience 1 to 5 years of experience (inclusive of PhD and/or post-graduate work