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Summary This position will provide technical support to data management plan development, data management, and assist Post-Doctoral Fellows with the development of machine learning methods. Organizational
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work with a variety of AI and machine learning frameworks, including open-source libraries (e.g., Hugging Face, LangChain, spaCy), cloud AI platforms (e.g., AWS SageMaker, Amazon Bedrock, OpenAI, Azure
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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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& Opportunities for Better Health Care 2. Health Data and Visualization 3. Health Data Analysis and Machine Learning A Graduate Teaching Assistant (GTA) is needed for each course. It is possible
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 10 hours ago
Doctorate or advanced degree in biostatistics or similar quantitative field, experience with machine learning, fluency in R statistical language Preferred Qualifications Same as Minimum Qualifications Course
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maintaining a high level of precision and accuracy Proficiency with REDCap Basic level of computer programming in any language, interest in learning more (e.g., MATLAB) Proficiency with computer programs
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Staff - Non Union Job Category M&P - AAPS Job Profile AAPS Salaried - Student Management, Level B Job Title Engagement Advisor Department Strategy and Learning | Centre for Community Engaged
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industry/upskilling educational programs, course designs, and developing workshops for STEM subjects, including but not limited to machine learning, robotics, laboratory automation, and materials discovery
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. Introduction to the Big Data Era & Opportunities for Better Health Care 2. Health Data and Visualization 3. Health Data Analysis and Machine Learning A Graduate Teaching Assistant (GTA) is
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Group and the Toronto Intelligent Systems Laboratory. These two research labs conduct cutting-edge research in computational imaging, computer vision, robotics, and machine learning. Their work spans