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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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Department of Forest Resource Management The Department of Forest Resource Management conducts teaching and research in the areas of Forest Remote Sensing, Mathematical Statistics Applied to Forest
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. Research experience of working with community data or molecular data is meriting. Good knowledge of statistical analyses and R (or equivalent programming) along with a strong publication record (in relation
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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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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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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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implementation, are required. For area 1 and 2, documented expertise in statistical analyses is required; experience in collating and analyzing large datasets is meriting. For area 2, experience in analyzing
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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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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