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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 15 hours ago
- University of Toronto Mississauga Course number and title: BTC1895H Python Coding Course description: This introductory course to basic python coding assumes students already know the basics of coding based
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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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with programming in Python are assets, but not required. The Research Assistant will be responsible for all aspects of the research process, including Acquiring cognitive, behavioural, wearable and
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Software Developer, Federated Research Data Repository, Lunaris, Information and Communications Tech
datasets promoting open research by developing FRDR-DFDR (https://www.frdr-dfdr.ca/) . FRDR addresses a longstanding gap in Canada’s digital research infrastructure by providing a platform through which
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 14 hours ago
YOU MUST APPLY TO THIS POSTING AT THIS APPLICATION SITE ONLY : https://www.utsc.utoronto.ca/webapps/cupehiring/dept/cms/app/sl If you have any issues applying, please contact Kelly Squier
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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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SQL Server and experience with Python are an asset Criminal record check will be required Department: Info & Communications Tech, Enterprise Arch & Data Management Status: Term CSPIP 16 month internship
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ABIF can be found at: http://www.mcgill.ca/abif. Primary Responsibilities 1. Technical Development & Innovation Lead and document quality control (QC) workflows for ABIF imaging systems, including
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 6 days ago
, including data manipulation, descriptive analytics, basic statistical analysis, and data visualization. Experience using common analytics tools and programming environments such as Python, R, Excel, SQL
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. Analytical Instrumentation: Expertise in material characterization (XRD, SEM, EDX, UV-Vis spectroscopy) and electronic testing (Source Measure Units). Data Analysis & Design: Skills in Python, MATLAB