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considered as evolutionary remnants of little significance, primary cilia in the past decade have sparked enormous interest, fueled by the discoveries that mutations in 150+ ciliary genes lead to 30+ human
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method and theoretical frame to understand human experience in social, cultural and evolutionary contexts. Our program reflects the diversity of the field which we see as a source of intellectual
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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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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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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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collaboration with industry partners. This work will apply optimal control theory, including machine-learning algorithms and Bayesian estimation, to coherent control of nitrogen-vacancy centers in diamond
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main library at the University of Toronto (U of T) for botany, forestry, geology, and ecological evolutionary biology. With over 110,000 volumes, materials consist of books, periodicals, theses, and
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considered as evolutionary remnants of little significance, primary cilia in the past decade have sparked enormous interest, fueled by the discoveries that mutations in 150+ ciliary genes lead to 30+ human
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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
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procedures (e.g., multilevel modeling, longitudinal data analysis, machine learning algorithms), cleaning and structuring large datasets, validating model assumptions, and ensuring reproducibility. Synthesizes