478 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions at University of Toronto
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 1 month ago
prioritize student success and seek to give our 16,500 students the lift of a lifetime through learning and discovery. We love to open opportunities available nowhere else for our community to achieve
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 days ago
of a respectful and collegial learning and working environment. To be successful in this role you will be: Accountable Approachable Cooperative Motivated self-learner Multi-tasker Organized Note: This is
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 days ago
introduces the science of Crime Scene Investigation and related forensic specialties. Students will learn about the latest scientific developments in the field, contrasting these to popular portrayals of CSI
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months 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
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Toronto) Position Number: 00058988 Description: About us: Student Life connects life to learning. We believe every student should have the opportunity to participate in university life actively and find
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 days ago
, inclusion and the promotion of a respectful and collegial learning and working environment Assets (Nonessential): Working knowledge of research granting agencies and their programs is highly preferred
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and facilitating workshops and training sessions for faculty and scientists Advanced computer skills (e.g. Excel, Access, Word, Power point) Python and SQL programming experience Excellent verbal and
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, or international affairs that can enrich the learning environment. Description of duties: Developing the syllabus, teaching 8 three-hour lectures at the graduate level, providing weekly office hours for academic
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in the research includes computer-controlled systems such as optical inspection devices, a probe station, and electronics test and measurement equipment. This is an 18-month opportunity, with a
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
learning (WIL), for 50 years. Co-op and WIL give students an opportunity to apply skills learned in the classroom, and to expand their knowledge through related work experience. The Department of Arts and