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). · A strong interest in biodiversity, conservation, and forest ecology. · Experience with passive acoustic monitoring, Bayesian statistics, and creating open-source software or code will count as
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the following headings: education, work experience, research interests, awards, publications, presentations and conferences, software and computer skills, languages, and contact details for at least two
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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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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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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