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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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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
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. Advanced knowledge related to statistical analyses, an understanding about the Swedish food system and about behavioral approaches will be of merit. Personal merits will play a significant role in the
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forward and to work well in a team. Advanced knowledge related to statistical analyses will be considered of merit, as will an understanding about the Swedish food system. Personal merits will play a
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advanced level. For this position, your degree / studies must have a focus on biology, bioinformatics, plant pathology, plant breeding, plant ecology or equivalent. Knowledge of statistics and experience in
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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
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ethic Meritous Experience with scientific field and lab studies, especially with forest ecosystems Basic knowledge of statistical software (such as R or JMP) Place of work: Umeå, Sweden Forms for funding
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, conventional and genomics-driven plant breeding methods as well as genomics and molecular markers. A well-developed understanding of how to use various statistical software applications for data analysis is