381 data-"https:"-"https:"-"https:"-"https:"-"ASNR" positions at University of Toronto
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.** Under the direction of the Canadian Data Intensive Astrophysics Platform (canDIAPL, pronounced “candy apple”) co-PIs Renee Hlozek and Kristine Spekkens, and in close collaboration with the Project Manager
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will continue until the position is filled. Please forward your application, including your curriculum vitae and the names and contact information of three references, to: Dr. C. Streutker Chief and
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oral communication skills · Utmost discretion and judgment in dealing with confidential information · Demonstrated strengths in leadership Salary: A competitive salary will be determined
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and retrieving data using various software programs; keeping records and retrieving or searching files; receiving, sorting, or distributing mail; and providing reception services and general program
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management virtually or in person in your community. Assisting clients through the Employability dimensions and career development journey. Collecting, recording and analyzing relevant data to make accurate
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relationships with stakeholders and partners of strategic importance Disseminating information regarding research funding programs and opportunities to the research community Coordinating and guiding applicants
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management experience including overseeing, planning and preparing complex operating budgets; forecasting, managing, and analyzing budgets and statistical information; reporting, monitoring and reconciling
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 5 days ago
space program analysis, test fits, layouts, data sets, 3D models, and supporting documentation. The Project Coordinator and Designer also assist in maintaining coordinated project documentation and
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implementation of information systems, processes, and associated technology to support Faculty of Applied Science and Engineering academic mission and administrative operations. The Faculty IT (FIT) office works
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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