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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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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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/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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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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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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entails the development of heuristic and metaheuristic algorithms, as well as GIS map integration, for the most effective management and suppression of wildfires. You will work in an international team
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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