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We are looking for a person who wants to develop statistical methods and hydrological modelling to better understand the potential climate benefits of wetland restoration. About the position We
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The Department of Forest Resource Management conducts education and research in the areas of forest planning, forest remote sensing, forest inventory and sampling, forest mathematical statistics and
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sources including field experiments and agricultural statistics. The PhD student will use and develop biophysical models of nutrient flows in agri-food systems, from farm to fork, to assess how different
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education credits. Qualifications You should have an MSc degree in microbiology, ecology, bioinformtics, or a subject relevant for the position. Skills in statistical, database management and scripting
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sciences, hydrology, statistics, applied mathematics, agronomy, or related fields. Written and oral proficiency in English is required. Interest and previous experience in developing mechanistic models
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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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N content, greenhouse gas exchange, water quality analyses Documented experience of (co-)authoring academic publications Proficiency with data synthesis and statistical analysis. Valid driver’s
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pursue your work in collaboration with others. An important feature is to quickly familiarize yourself with complex data sets, as well as perform advanced statistical analysis. Below is a list of
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management, as well as two environmentally oriented courses for civil engineers. We also provide a postgraduate course in multivariate statistics for ecologists. Read more about our benefits and what it's like
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Analysis and LCA, as well as Biometrics (statistics and mathematics with applications in biological systems). Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about