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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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groundbreaking research at the faculty. Learn more at: www.mie.utoronto.ca/student-lifeservices/machine-shop/ Your responsibilities will include: Determining technical requirements for fabrication projects
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 24 days ago
that specialize on a wide range of topics, such as Software Engineering, Machine Learning and Data Mining, Quantitative Finance, Mathematics, and Applied Statistics. This search aligns with the University’s
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for this platform. Covers Cloud technologies to store and process structured, unstructured and semi-structured data. Covers Cloud-based implementation of Real-time Analytics and Machine Learning. Estimated course
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 11 hours ago
and title: CHMD11H3 - Application of Spectroscopy in Chemical Structure Determination Course description: In this course students will learn about the following analytical techniques used in organic
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Description: About us: The University is a global leader in research and teaching. We provide diverse and extensive areas of study organized around intimate learning communities. That is what creates
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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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Description: About us: The University is a global leader in research and teaching. We provide diverse and extensive areas of study organized around intimate learning communities. That is what creates
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is recognized as a global leader in graduate programs in teaching and learning, continuing teacher education, and education research. As one of the largest and most research-intensive faculties
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us: Student Life connects life to learning. We believe every student should have the opportunity to participate in university life actively and find connection and community while discovering new ways