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parallel to what has recently been shown in human gut health, microbial diversity on both leaves and roots is an important factor in overall plant health. However, the connections between plant disease and
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will be part of a research team, based in Umeå and Uppsala, for a project funded by VR. The post doc will be responsible for detailed analysis of soil fungal communities, soil organic matter quality
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for the project, which may also draw on data from other experimental catchments and large-sample databases. About the position This work will be a central component of the project “Intensification of water in
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environmental pathogen detection and who has experience in wastewater analysis. About the position You will be part of the Swedish Environmental Epidemiology Center (SEEC) within the Division of Microbial Ecology
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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 systems). Read
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to identify hazardous chemicals. The tasks will also include sampling, extraction of environmental samples, chemical analysis, processing of large data sets, data analysis, statistical evaluation and writing
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architecture and forest structure analysis. We expect you to develop innovative research and report findings in high-impact scientific journals. We expect you to network and collaborate with remote sensing
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into farming practice. Previous research experience working with cover crops, potato diseases, microbial ecology (including microbiome analysis) and/or communications research are merits. Excellent communication
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or the equivalent knowledge pedagogic vision and reflection. The following abilities will also be assessed: developing analysis methods in clinical pathology for diagnosing animal diseases developing
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in biology, ecology or forestry, with documented specialization in community ecology, bird or bat ecology, and/or restoration ecology. Experience in design, execution and analysis of acoustic data is