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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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driver’s license for fieldwork. Beneficial qualifications are Experience in tree physiological measurements. Experience in fieldwork. Experience in programming / modeling in R and/or other software
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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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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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languages such as R or Python, working with data in a Linux environment. Great emphasis will be placed on personal qualities such as commitment, ability to collaborate, analytical skills, independence, and
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manuscripts, and advanced documented knowledge in the use of R, Stata or other analytical software are considered extra merit. Working knowledge of Swedish is preferable but not mandatory. Place of work: Umeå