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for desktop computers, smartphones, wearables, and other everyday objects. Students will learn basic principles and technologies of user interface design, interaction models and laws, and different user
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 1 month ago
objects come to have meanings. How we recognize and fail to recognize such meanings. The nature, systems, and processes of interpretation. The role of mental models. September 1 to December 31, 2025 (actual
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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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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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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
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communicate with both technical and non-technical audiences, as well as collaborate with cross-functional teams. Assets (Nonessential): Understanding of machine learning capabilities. Experience with ETL
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 months ago
, primary care, navigation of care, and mental health counselling services in an interprofessional shared care model. The team delivers student-focused care and support that is compassionate, culturally
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decentralized institutional model. This model spans multiple faculties, divisions, and central offices. The Advisor plays a key role in supporting the graduate community, ensuring that graduate administrators
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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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, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine learning algorithms, and elucidating structure-property relationships of emerging