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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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(i.e., repairing equipment, processing samples) Data entry NOTE: All work will be around oilfield operations and requires full adherence to safe work protocols. Skills & Abilities: A strong interest in
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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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inclusion considerations at each stage of the research process section of the NSERC guide on integrating equity, diversity and inclusion considerations in research web page and the Guidelines
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the recruitment process, please reach out to James McKay, Indigenous HR Lead at james13@torontomu.ca . Toronto Metropolitan University is committed to the principles of the Accessibility for Ontarians with
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supervision and contribute to a dynamic, fast-paced research environment. Familiarity with specimen collection, handling, storage, and shipment processes in clinical research. Biosafety for Study Team Members
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treatment effect models. Ensure data quality by employing rigorous data cleaning procedures and by documenting all processes and coding steps transparently. Methodological Development Contribute to selecting
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the recruitment process, please reach out to James McKay, Indigenous HR Lead at james13@torontomu.ca . Toronto Metropolitan University is committed to the principles of the Accessibility for Ontarians with
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. At least one of these letters should report on the candidate's teaching abilities. The screening process will start on February 1, 2025, and continue until the position is filled. Interviews will take place
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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