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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 17 hours 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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. Conduct sophisticated ad hoc query data retrievals; provide analysis of data extracts as required. Assist in the development of data visualization methods and reporting capabilities to enable more effective
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of the REO. Strong ability to meet deadlines. High level of proficiency and accuracy with data entry tasks. Demonstrated ability to conduct general statistical analysis. Aptitude for results visualization
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, with the ability to communicate findings clearly in written and visual formats to academic and community audiences. Experience with qualitative data collection and analysis software such as NVivo
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Staff - Non Union Job Category M&P - AAPS Job Profile AAPS Salaried - Institutional Analysis, Level A Job Title Data Analyst Department Project Management | Founders Lab | UBC Sauder School
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validation. Develops reproducible computational workflows and pipelines for ecological data processing, modelling, visualization, and prediction. Analyzes and interprets model outputs in an ecological and
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interdisciplinary research environment combining urban studies, architecture, data analysis, and spatial modeling. Responsibilities: Complete and refine interoperable datasets for selected cities using available data
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for the development of machine learning based tools for fisheries catch analysis, redesigning existing data-processing workflows, and building data visualization tools and interfaces for the Sea Around Us database and
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collection and analysis, and reporting Experience designing visuals, tables, graphs to communicate complex information Ability to review, edit, design and publish scholarly work in online and print formats
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Proficiency in SPSS and other statistical software (example R, SAS, etc) Experience with data collection, management, analysis, visualization, and interpretation. Ability to select appropriate biostatistical