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in environmental science, quaternary sciences, bedrock geology, paleontology, physical geography, biodiversity and ecosystem science, remote sensing, Geographic Information Science (GIS), and
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in environmental science, quaternary sciences, bedrock geology, paleontology, physical geography, biodiversity and ecosystem science, remote sensing, Geographic Information Science (GIS), and
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analysis, GIS and Python regarding urban and regional planning Documented experience of working with urban and regional policies and qualitative data. Documented experience of working with transport related
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, sustainability science, or a related field. Experience in data analysis using scripting languages such as Matlab, Python, and R. Experience working with earth observation data and visualisation of data in maps and
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or habitats knowledge of data analysis, statistical modelling or remote sensing experience with GIS, programming (R/Python) or handling large datasets demonstrated interest in method development or biodiversity
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LCA software (SimaPro, OpenLCA, Brightway). Skills in R or Python for data processing and analysis. Experience with soil or biodiversity monitoring methods. Experience using GIS (QGIS, ArcGIS
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analysis, statistical modelling or remote sensing experience with GIS, programming (R/Python) or handling large datasets demonstrated interest in method development or biodiversity research Great emphasis
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, forestry, bioinformatics, or a related field - Strong demonstrated interest in biodiversity, molecular methods, or forest ecology - Advanced Skills in R/Python, GIS, bioinformatics, and molecular lab work
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management Nordic forestry Remote sensing data: ALS, TLS, satellite (e.g. sentinel2), aerial images Statistical modelling and analysis GIS e.g. ArcGis, Qgis, R Programming, e.g. R, Python, C etc. Field work
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methods, or forest ecology - Advanced Skills in R/Python, GIS, bioinformatics, and molecular lab work - Ability to work independently and in multidisciplinary teams - Strong English communication skills