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University of Toronto Faculty of Information Sessional Lecturer Summer Term 2026 – Session Y (May – August) INF2179H – Machine Learning with Applications in Python Course Description: Machine
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on new data and insights to ensure relevance and accuracy in long-term decision making. 2. Develops complex financial models and evaluates a broad range of strategic initiatives that provide economic
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. This includes developing outreach materials, organizing workshops and information sessions, engaging with users and the general public, and managing media and social media communications. Typical Duties
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closely with our interdisciplinary team of scientists and engineers. Responsibilities include but are not limited to Experimental Design and Execution, Computational Modeling, Prototype Development, Data
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by data, testimonials and other forms of documentation. Can demonstrate an ability to work collaboratively in an academic unit and is motivated to collaborate across disciplines within the business
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. Establish in vivo cancer models including patient-derived xenograft models for PET/SPECT imaging and therapy studies. Collect, record, analyze, validate, interpret, and organize experimental and research data
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financial reports Analyzing financial information to identify spending trends, discrepancies, and cost-saving opportunities, including comparing forecasted figures to actuals, conducting salary and benefit
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analyze arguments, read scientific literature, and interpret data; these skills are then used to write argumentative essays. We also explore how society influences science, and how science influences
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; Assembling briefing and background materials in preparation for meetings, ensuring all relevant information is readily available to the management team; Managing incoming and outgoing correspondence, ensuring
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: LORIS is a web-based data management software designed at the McGill Centre for Integrative Neuroscience (MCIN). The candidate will be contributing to the development and maintenance of LORIS and