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research in urban settings is also preferred. Experience with R, Python, and/or GIS software (e.g., ArcGIS or QGIS) is highly desirable. Equipment Utilized Physical Demands and Work Environment Overview
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. Accredited training in the following areas (each area is defined in brackets): [GIS management, Geodatabases], [SQL database language, Post-GIS], [Access, R, Python], [Human group dynamics]. 0.05 points will
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collaborative input, and contributing support to creative database projects. Ability to manage large datasets and extrapolate from data for use in public policy analysis. Familiarity with Python, R, and GIS
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raster geospatial data related to soil degradation, preferably in areas at risk of desertification; (ii) Proven experience, as an advanced user, with a GIS (e.g., ArcGIS or QGIS), with the R project
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. The successful candidate will assist with processing GIS, bathymetric, habitat, and environmental datasets, maintaining project databases, and supporting the development of habitat maps and spatial products
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you work with GIS and care about the environment? Emissions
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have experience using GIS software such as ArcGIS or QGIS, managing scientific datasets, and conducting quantitative analyses using software such as R or Python. Experience with marine habitat mapping
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Research FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications Strong proficiency in Python and geospatial data-processing tools (GIS, raster/DEM and satellite imagery); knowledge
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physical activity promotion. Learn how to apply quantitative and qualitative analytic methods, including opportunities to use GIS, statistical software (R or Python), and emerging analytic approaches
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of a geographic information system (GIS) for estimating residential exposures and producing geographic databases. 2/ Epidemiological analyses and validation of methods • Develop and apply spatialized