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Field
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. You have good programming skills in Python and/or R; you are familiar with reproducible coding and automated (geospatial) data analysis. You have excellent scientific writing and communication skills in
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creative and interdisciplinary thinking. Strong programming skills in R, Python, Stata and/or SAS, GIS or other relevant software. Excellent oral and written communication skills. Track record of published
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grants for future research in the field of spatial history. Qualifications Required: Strong background in information science, library science, digital humanities, or GIS. Experience managing and
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hydrologic, geologic, and water quality data using tools such as GIS, statistical software, and data visualization programs. Coordinates with investigators and staff of other University departments 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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windows operating systems. C2. Strong technical skills in various GIS, remote sensing, data management and statistical analysis software (e.g. ArcGIS, QGIS, Python, R). C3. Strong programming skills in
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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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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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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