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charts. Demonstrated experience in Remote Sensing, GIS tools, and spatio-temporal analysis. Excellent command of English. Ability and willingness to work in an interdisciplinary research environment
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scripting languages such as Matlab, Python, and R. Experience working with earth observation data and visualisation of data in maps and charts. Demonstrated experience in Remote Sensing, GIS tools, and spatio
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: Experience in method development, working with spatial data, and GIS Experience with univariate and multivariate analysis and working with large datasets Experience with working independently and organizing
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quantitative methods, with a strong emphasis on GIS and spatial analysis. A central part of the work will be to trace the effectiveness of colonial health interventions across time and space, linking observed
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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
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Forest ecology and 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
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and development. Drivers license is a necessity for the work duties. Beneficial qualifications are experience of forestry analytics, using preferably R programming language and/or GIS softwares, and
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/or GIS softwares, and good communications skills with fluency in written English. Place of work: Alnarp Forms for funding or employment: PhD employment, 4 years Starting date: March 2026 or according