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University of Toronto Faculty of Information Sessional Lecturer Fall Term 2025 (September - December) INF1343H – Data Modeling and Database Design Course Description: The purpose of this course is
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deep learning techniques for analyzing high-dimensional omics data, identifying predictive biomarkers, and understanding cancer heterogeneity. Projects include modeling of bulk and single-cell
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involves reviewing onboarding and mentorship models from other institutions, identifying promising practices, and helping to design a phased onboarding plan tailored to the College. The RA will assist with
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: Data collection, climate change impact assessment, ML/DL model development, and scenario development for streamflow forecasting. Qualifications: M.Sc. Eng; coding for streamflow forecasting models. Before
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: Literature review, data collection, input variable selection, preliminary model building for machine learning based streamflow forecasting. Qualifications: BEng; Very strong ability in coding and ML/DL
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of Professor, with an anticipated start date of July 1, 2026. We seek candidates conducting research on climate data science that draws together observations, models, and machine learning. Candidates must have a
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AI), and other emerging tools. This role will involve designing proof-of-concept solutions, working with stakeholders to refine AI applications, and experimenting with new AI models and methodologies
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de recherche du Québec - Santé (FRQS). Position summary The Diabetes Modelling and Control group is looking for a recent (0 to 3 years) science graduate (physiology, pharmacology, immunology, etc
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 21 hours ago
working within short-term counselling model (i.e., 8-session limit) Good judgment and reliability. Non-judgmental attitude. Excellent time management and organizational skills Strong computer skills (e.g
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process and methodology for data/information management. 2. Complex Analysis and Modelling Analyzes detailed spend and transactional pricing data for the University's spend on goods and services. Prepares