15 finite-element-analysis Postdoctoral positions at Swedish University of Agricultural Sciences
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We are seeking a highly motivated person to conduct research in economic modelling of forest resources to support analysis of environmental and climate change issues. About the position The project
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to the development of Ecological Risk Analysis Tables (ERATs) to support the development of coastal management accounting for climate change and species interactions. The post-doc will have an important role in
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network analysis of biotic interactions. Postdoctoral appointments are career-developing positions for junior researchers, so we are primarily looking for candidates with a doctoral degree that is three
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-frequency water quality monitoring as well as a solid background in statistical data analysis and previous experiences with catchment hydrochemical modelling will be particularly useful. Excellent English
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design, data collation and analysis, as well as write and publish scientific papers in collaboration with the research team. The postdoc is also expected to contribute to team activities, assist in student
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environmental conditions, including climate change. Through research, environmental analysis and education, we contribute knowledge about future sustainable land use and develop new solutions as a basis for
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sampling and measurement approach for improved precision in soil carbon monitoring”. Important parts of the work are fieldwork, laboratory analysis, data evaluation and academic publishing. The employed post
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the position Experience with independent planning, execution and evaluation of experiments, including statistical analysis Familiarity with theory and techniques of chemical analyses or metabolomics is required
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scientific journals A category B driving license Desirable Skills Research experience in dairy cow nutrition and metabolism Expertise in wet chemistry techniques for feed analysis The position is intended
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research projects, as evidenced by scientific publications in internationally peer-reviewed journals - Good knowledge in genomics, bioinformatics and experience in statistical analysis of large datasets