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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 1 month ago
Scarborough Department: Department of Computer and Mathematical Sciences Campus: University of Toronto Scarborough (UTSC) Description: The Department of Computer and Mathematical Sciences at the University
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for a full-time tenure stream position in the areas of Machine Learning and/or Self Driving Labs applied to Drug Discovery, Pharmacology and/or Toxicology at the rank of Assistant Professor, with
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academic experience (research, teaching and learning) issues as they relate to generative artificial intelligence, (b) facilitating project work to ensure deliverables are met within the required timeline
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include AI-driven metadata management, machine learning applications in cataloging and discovery, and the ethical concerns surrounding bias, privacy, and surveillance in AI systems. The course will also
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for a full-time tenure stream position in the areas of Machine Learning and/or Self Driving Labs applied to Drug Discovery, Pharmacology and/or Toxicology at the rank of Assistant Professor, with
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that is desired: Cheminformatics and Machine Learning Demonstrated development or application of machine learning tools to address chemical problems, including but not limited to: property prediction
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to thoughtfully and conscientiously shape the field of the future. With our robust and comprehensive educational training programs (DDS, MSc, PhD degrees, IDAPP and other specialty programs), our emphasis
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that is desired: Cheminformatics and Machine Learning Demonstrated development or application of machine learning tools to address chemical problems, including but not limited to: property prediction
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. Expertise that is desired: Cheminformatics and Machine Learning Demonstrated development or application of machine learning tools to address chemical problems, including but not limited to: property
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 19 hours ago
to tackle massive data sets in health. The focus will be on advanced statistical tests in machine learning and assemble such tests by accessing and validating publicly available code in the R programming