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Cambridge ESOL). More information is available on universityadmissions.se . Knowledge in statistical analysis, programming, quantitative genetic and breeding theory and Nordic (boreal) forestry are desirable
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position, Forest Science, Genetics or similar. Knowledge in statistical analysis, programming, quantitative genetic and breeding theory and Nordic (boreal) forestry are desirable Place of work: Umeå Forms
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remote sensing. A MSc degree, or equivalent is required, in a subject relevant for the project position in, biology, bioinformatics, plant physiology, genetics, or statistics. Applicants must meet certain
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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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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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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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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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. The credits can be in ecology, engineering, earth and environmental sciences, hydrology, statistics, applied mathematics, agronomy, or related fields. Written and oral proficiency in English is required