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course (INF482H1: Special Topics in Information Studies II: AI) provides a comprehensive introduction to the intriguing world of Artificial Intelligence (AI), covering its historical development
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course (INF2138H – AI in Library Science: Social, Political, Practical Impacts) explores the transformative role of Artificial Intelligence (AI) in the field of library and information science, with a
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data analytic approaches such as artificial intelligence (AI) and machine-learning to address this complexity are of particular interest. McGill University has an international reputation in excellence
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Artificial Intelligence (RAI) is about ensuring that socioenvironmental responsibility is a fundamental and permeating consideration in all stages (conception, evaluation, deployment, monitoring, etc.) of AI
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knowledge; technological support for decision making (including predictive analytics, machine learning and artificial intelligence); the main types of information systems in health care and their design; and
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 1 month ago
academic issues in IT such as artificial intelligence; Demonstrated skill in respectful, sensitive communication with people from diverse backgrounds, cultures, language, gender, and abilities; The ability
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University of Ottawa | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | 3 days ago
: Pioneering advanced optical and satellite communication technologies. 3. FROM CODE TO COMMUNITY: ADVANCING AI FOR HUMANITY Artificial Intelligence (AI) is reshaping science, medicine, industry, and society at
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related to equity, diversity, and inclusion Preferred Qualifications Preferred post-graduate university degree in a relevant discipline (PhD in Computer Science, Engineering, Artificial Intelligence
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. They also present challenges: New types of data, (e.g., from DNA testing) may increase risk to privacy. For machine learning and artificial intelligence to work properly, data needs to be centralized
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an early-career researcher with demonstrated strengths in artificial intelligence and bioinformatics. More specifically, expertise in using machine learning and AI tools to leverage multi-omics (genomics