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Software Developer, Federated Research Data Repository, Lunaris, Information and Communications Tech
://www.lunaris.ca/) . It increases the searchability of Canadian research data by harvesting many different research and government data repositories across the country collecting the metadata for these datasets
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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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conform to the expected result of the indicator. Creates proof of concept scientific workflows and documentation examples. Provides expertise in R and python coding to facilitate data analysis and workflow
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collected as part of current CIHR funded project “Sex differences in brain aging in adults with and without risk factors for Alzheimer’s Disease” which focuses on midlife, and examines the effect of menopause
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domain-specific support to researchers working in artificial intelligence, machine learning, and data analytics. Enable researchers from different disciplines to apply appropriate machine learning and data
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and conferences. Proven experience in design and implementation of deep learning algorithms. Outstanding programming skills in Python. Extensive experience working on one or more of the following areas
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domain-specific support to researchers working in artificial intelligence, machine learning, and data analytics. Enable researchers from different disciplines to apply appropriate machine learning and data
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desirable. Proficient in Python, R, and ML libraries such as PyTorch or TensorFlow. Strong communication and collaboration skills; ability to work independently and as part of a team. Willingness to respect
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in conducting in-depth analyses using different teaching-related datasets through programming languages (e.g., R, Python, Matlab, etc.) to derive patterns and trends for evaluation and educational
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responds to different perspectives from a place of curiosity, respect, and non-judgement Undertakes related duties, as assigned, consistent with the nature of the position Education: We appreciate that non