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teaching, learning, and research requirements. They are subject matter experts; they are skilled in research data management, collections, statistics, GIS, metadata, digital preservation, scholarly
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 20 hours ago
, learning, and research requirements. They are subject matter experts; they are skilled in research data management, collections, statistics, GIS, metadata, digital preservation, scholarly communications
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active working relationships with multiple partners and collaborators. Experience working with GIS and data analysis software Knowledge and understand of data sovereignty for Indigenous Nations Experience
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, students will be introduced to tools and techniques used in the study of Earth processes including GIS. QUALIFICATIONS PhD in Geography, Environmental Studies, or discipline sharing similar quantitative data
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analytics; augmented and virtual reality modelling; media obsolescence and recovery; workflows; standards; digital forensics; and/or geographic information systems (GIS). Candidates must provide evidence of
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; systems design and development; data analytics; augmented and virtual reality modelling; media obsolescence and recovery; workflows; standards; digital forensics; and/or geographic information systems (GIS
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systems, or ecology. Proficiency in GIS, field instrumentation, and environmental data platforms is a strong asset. The position is well-suited for individuals with a graduate degree (M.Sc. minimum
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requirements. They are subject matter experts; they are skilled in research data management, collections, statistics, GIS, metadata, digital preservation, scholarly communications, copyright, teaching, knowledge
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framework using Django and data analysis using Pandas and Numpy libraries. Working experience Windows and/or Linux operating systems. Proficient in spatial analysis using GIS and PostGIS. Proficient in
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applications in research projects Design and/or instruct user oriented workshops or tutorials (two hours to week long) on GIS, geospatial data and remote sensing Participate actively in research projects