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Field
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, or Computer Science). Preferred experience: - Background in natural resource conservation and/or wildlife management Required Knowledge, Skills, and Abilities: - R - Python - SQL - Familiarity with GIS software and
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Python/related web application frameworks. Contributes to a welcoming working environment that fosters diversity and inclusion. This position is designated as a critical or security-sensitive position
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Excel, R, Python, or SQL. Must be proficient in English (oral and written) for effective communication with board members, staff, partners, and the public. Experience managing datasets and supporting QA
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Developer, and GIS Data Specialists to streamline workflows, enhance data quality, and drive efficiency in a fast-paced, cloud-centric environment. The position reports to the data products leader. What We Do
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 1 month ago
support tool for non-GIS users, e.g., Enterprise GIS databases, ETL workflows for data sharing, ArcGIS Dashboards; ▪ Demonstration of intermediate knowledge of python scripting and experience working with
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classification. Strong background in experimental design, statistical sampling and analysis in field settings. Skilled in GNSS‑based geolocation, GIS software (e.g. QGIS, ArcGIS) and programming (Python, R
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in analytical tools (e.g., MATLAB, Python, GIS, or similar). Knowledge of AI and Multi-Agent Systems. Proven ability to analyse complex information and summarise appropriately Ability to demonstrate
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tools from remote sensing, Geographic Information Science (GIS), graph theory, and data science to address complex research questions. Analyzes both aspatial (e.g., tabular) and spatial (vector and raster
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the developed geospatial databases to evaluate trends in stream networks across the US. Work will be done primarily in python and GIS. Candidates will be expected to create maps and graphs of trends in network
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tools from remote sensing, Geographic Information Science (GIS), graph theory, and data science to address complex research questions. Analyzes both aspatial (e.g., tabular) and spatial (vector and raster