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Information Management, or related fields; Have basic knowledge of machine learning models in supervised and unsupervised learning tasks (i.e., k-nearest neighbours, Decision Trees, Neural Networks, Logistic
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knowledgeable, productive and effective departmental staff who are adept at meeting the needs of today’s students, by hiring, training, and supervising full-time classified, part-time, and student employees both
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study, your academic achievements will be assessed. If this shows that you will successfully complete your programme within a reasonable period of time, the scholarship will continue as planned. Funding
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achievements will be assessed. If this shows that you will successfully complete your programme within a reasonable period of time, the scholarship will continue as planned. Funding must begin in 2027
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School, who applied for the course by the application closing date will be considered. Eligible applicants are required to submit a 300-word statement which addresses: Reasons for pursuing masters level