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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 days ago
Description: Sessional Lecturer: IMI2995H – Special Topics in Urban Innovation - Urban Analytics: Data, Methods, Mapping, and Visualization The Institute for Management and Innovation’s Master of Urban
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the research team, you will contribute to the Measuring Digital Inclusion and Mapping the Digital Gap project. This work explores digital inclusion and the digital experiences of Aboriginal and Torres Strait
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placement maps and task scheduling Discuss event signage needs with external stakeholders and event coordinators to ensure signage needs are satisfied for upcoming events Create, deploy, and maintain
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responsible for: - Compiling an academic and professional corpus on the project’s theme (data scraping, analysis, data visualisation) - Mapping the stakeholders and institutional mechanisms involved in risk
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or yearly deployments, the magnitude of change at any point on the seafloor remains below to the detection limit of even high-resolution mapping sensors. In addition, recognising and aligning scenes across
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or yearly deployments, the magnitude of change at any point on the seafloor remains below to the detection limit of even high-resolution mapping sensors. In addition, recognising and aligning scenes across
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detects underground infrastructure in GPR radargrams and estimates its depth. The project builds on the growing availability of high-quality GPR data collected at the University of Twente’s Utility Mapping
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investigating the evolution of locomotion in the crocodile lineage. The work will involve analyses of locomotor morphology (e.g., 3D imaging; morphometrics; phylogenetic character mapping; vertebrate
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business processes across the university. This position will lead business process discovery, process mapping, future-state process design, policy and procedure development, organizational change management
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energy to power or charge local equipment such as cold storage, post-harvest machinery and low-powered EVs. You will work with diverse, high-impact datasets encompassing geospatial agricultural mapping