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data. You will work in an interdisciplinary research environment, where there is expertise in occupational and environmental medicine, epidemiological-, statistical-, and dispersion modelling, and also
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education and research in the areas of forest planning, forest remote sensing, forest inventory and sampling, forest mathematical statistics and landscape studies. The department is also responsible
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and statistics for spatial analyses. Overall, this is a project well suited for students with a background and interest in genomics, evolutionary biology, and conservation biology. Admission
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sampling, forest mathematical statistics and landscape studies. The department is also responsible for implementation of the ongoing environmental analysis programs National forest assessment, National
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pathology, plant breeding, plant ecology or equivalent. Knowledge of statistics and experience in R is required. You should have the ability to work independently as well as in a team. You should be motivated
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timber engineering Statistics, programming, data analysis and data visualization Experience of: Experimental/laboratory investigations, Teaching on different levels and communication of research results
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science fields and methods; or statistical methods, especially as related to computational simulations. The research will require competence in developing interactive visualization tools: interested