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help reconstruct biodiversity time series and assess how forest management impacts species dynamics. The position will involve lab and field work, bioinformatics, and ecological modeling. Results will
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approaches (plant physiology, quantitative genetics and bioinformatics) to understand how heritable plastic responses work at both the individual and population levels. The student will be based in the Swarts
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forest ecosystems. Merits include advanced knowledge in ecology and conservation biology, experience with molecular methods and bioinformatics, and mycological competence. Experience in planning
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qualifications: Experience in microbial cultivation, in particular anaerobic cultiv Experience with molecular methods Basic knowledge of bioinformatics Documented experience and demonstrated ability in oral
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or proteomics, including basic bioinformatics analysis. Education or documented training in scientific communication, including scientific writing and oral presentation of research results. Eligibility Students
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of the contact activation system. Education or documented training in omics-based approaches, such as transcriptomics or proteomics, including basic bioinformatics analysis. Education or documented training in
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well as high motivation to pursue doctoral studies. Previous experience with plant nitrogen physiology, trees as a model system, genetics, genomics, and bioinformatics are valuable merits. Place of work: Umeå