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. Applicants should have expertise in the application of statistical methods in data science, machine learning, or artificial intelligence. Experience must include the preparation and delivery of course content
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machine learning methods and AI tools, • Proficiency with clinical trials, FDA/Health Canada submission templates, • Excellent prioritization, time management, communication (verbal and written
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Qualifications Experience in awards administration and/or undergraduate admissions would be an asset. Strong computer skills including ability to learn new computer programs, to use general office computer
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; Aditya Mahajan ECSE 551: Machine Learning for Engineers; TBA McGill University is committed to equity and diversity within its community and values academic rigour and excellence. We welcome and encourage
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
success, and seek to give our 16,500 students the lift of a lifetime through learning anddiscovery. We love to open opportunities available nowhere else for our community to achieve their ambitions and make
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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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key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings
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sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve
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Science, or a related field. Strong programming skills in Python, R, or related languages for data analysis and machine learning. Experience with genomics data analysis, health informatics, or computational
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months 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