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Field
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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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degree (2.1 +/MSc) in mechanical / civil / environmental engineering, physics or a related quantitative field; strong computing skills (Python/MATLAB/GIS); interest in transport or urban futures. Position
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 13 days 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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/Spanish) Prior experience in one or more programming languages (e.g. Python, C), GIS/Remote Sensing packages (e.g. ArcGIS, Pix4D, ENVI) and/or statistical packages (e.g. R, Stata) Education and/or
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experience with computer modelling, (e.g. agent-based modelling), as well as good grasp of machine learning, forecasting techniques, scenario planning, optimisation, Python and GIS. Good knowledge of English
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technologies (e.g., Python, R, GIS, databases) Relevant experience in data collection, data analysis, and research data management Understanding of the national and international scientific environment and
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a working knowledge of several languages such as PostGres, MS Excel, JavaScript, Python, C# and R. It is important for the candidate to be adept with QGIS and PostGIS. The ideal candidate should be
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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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GIS database. Proven experience with ArcGIS Pro and ArcGIS Online including advanced functionality and customisation. Strong programming skills in languages such as Python, R, or JavaScript. Experience
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, forklifts), and minor equipment repairs. Laboratory activities will include, but not be limited to, data systems administration, geospatial analysis (GIS and/or remote sensing), and processing of field data