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information. High degree of proficiency in computer applications such as Microsoft Word, Excel, and Powerpoint; and web-based applications or tools.
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design, computer experiments, sequential analysis, shape-constrained inference, time series, and Bayesian analysis. In applied mathematics, these include information theory, coding theory, control theory
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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA
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Department: Electrical, Computer and Biomedical Engineering Position supervisor: Dr. April Khademi Contract length: 1 year (with possibility of extension) Hours of work per week: 36.5 About Toronto