1,053 algorithms-phd-"INSAIT---The-Institute-for-Computer-Science" positions in Canada
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application of these techniques to the domain of information science. Topics will include software principles and practices, programming concepts and techniques, data structures, and algorithms. This course is
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 1 hour ago
this posting, the rates stated in the collective agreement shall prevail. Qualifications: PhD or PhD candidate in Geomatics, Health Geography, or a related field. Expertise in GIS and spatial analysis software
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there is a change to the date/time) Location: Chancellor Day Hall Course Description: Technology law of how to regulate AI algorithms. How technological innovation produces social change: human
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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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efforts in the Algorithm and Harmonized Data Working Group and other Working Groups/Teams as necessary. Network and Research Administration Facilitates the operationalization of the Canadian Data Platform
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of colonization. Recognizing the diversity of Indigenous Peoples throughout the world, this course will explore both those experiences shared between groups, and those unique to local contexts. QUALIFICATIONS PhD
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views of resource management, treaties, and analysis of current policies on resource management and aboriginal life. QUALIFICATIONS PhD in Anthropology or closely related discipline, or PhD candidates and
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and Mental Health. The successful candidate must already hold, or be eligible for, a Full-Time Clinical (MD) or Status-Only (PhD) academic appointment with the Temerty Faculty of Medicine, U of T
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, and explainability; developing unbiased algorithms and responsible data use; addressing the social impacts of AI and IT-induced biases; equitable compensation policies; combating labour discrimination
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a training dataset for developing machine learning algorithms for increasing the consistency of quality control in two cohort studies: healthy controls and epilepsy patients. Key Responsibilities