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Loading / Chargement... Help Dashboard Dashboard Dashboard Recruiter Login English English We are sorry this posting does not have information in your chosen language GIS Data Technologist Job ID
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Part-Time Academic (SEASIDE 2026 BIOL 3633.03: Spatial Information and GIS in Ecology – Summer 2026)
Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 24 days agoPosition Details Position Information Position Title Part-Time Academic (SEASIDE 2026 BIOL 3633.03: Spatial Information and GIS in Ecology – Summer 2026) Posting Number PTAP3215P Department/Unit
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research strengths have focused on host defense, clinical epidemiology, inflammatory bowel disease and liver disease. Reporting to the GI division’s research leadership team as well as the division head
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University Gerald Bronfman Department of Oncology where they will be expected to have relevant clinical experience and expertise in the management of gastrointestinal (GI) malignancies. The incumbent is a
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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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, wildfire mitigation strategies, and landscape-level resilience planning. Use GIS, remote sensing, and mapping technologies to delineate wildland fire events, evaluate burn severity, and support decision
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, wildfire mitigation strategies, and landscape-level resilience planning. Use GIS, remote sensing, and mapping technologies to delineate wildland fire events, evaluate burn severity, and support decision
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metrics. Applies analytical tools such as Life Cycle Assessment (LCA), spatial data (GIS), and/or environmental modeling to assess circular strategies. Collaborates with academic, governmental, and
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. Experience with analyzing and visualizing soil data. Experience with organizing and analyzing geospatial data using GIS software is considered an asset. Experience facilitating or presenting at workshops and
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to script and program work flows in C++ and python and understanding and use of remote sensing and GIS programs is essential. Demonstrated experience utilizing a cloud computing environment such as AWS