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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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The Department of Forest Resource Management conducts research and teaching within the subject areas of Forest Remote Sensing, Forest Inventory and Sampling, Mathematical Statistics Applied
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the field of methodology, we have extensive competence in System Analysis including Environmental Systems Analysis and LCA, as well as Biometrics (statistics and mathematics with applications in biological
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. – practical or theoretical. Experience in aquatic ecology work in limnic systems (e.g., restoration). Experience in advanced statistical analysis of ecological data and/or ecological modelling. Experience in
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is required. The candidate must have proven proficiency in writing and publishing peer-reviewed scientific papers. Good numerical and statistical skills are also required. The position is intended
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dissemination and training courses. Your profile We seek an enthusiastic, responsible and highly-motivated candidate that fulfils the following requirements: PhD in ecology, forestry or statistics and an interest
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Qualifications: A successful applicant holds a doctoral degree in ecology, forestry, environmental science or biometry and has a strong background in forest ecology and statistics/mathematics. Earlier research
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. Experience in one or several of the following are necessary: non-destructive testing of forest trees, measuring of growth and wood properties at the laboratory, and statistical analysis and programming
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software (programs for modelling work, statistical analysis and LCA) are also meritorious. As postdoctoral appointments are career-developing positions for junior researchers, we are primarily looking
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the quality of the applicant’s PhD thesis, published scientific articles and other scientific merits. Special weight will also be given to the applicant’s knowledge in experimental design and statistics, and