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Field
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research will primarily be based on farms and at field experimental sites in both northern and southern Sweden. The doctoral student will work with established and new experiments investigating forage
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growth, spatial data and GIS, and statistical analysis in R. About the position The doctoral student will plan and carry out field experiments and inventories, manage and analyse spatial and experimental
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work with academic, public- and private-sector partners. The project will combine field experiments and forest health surveys with disease and damage assessment, fungal isolation and culturing, molecular
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particular emphasis on neutron-induced reactions. Through dedicated experiments, the research group produces high-precision nuclear data that extend beyond current experimental limits. These results contribute
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. The project will combine field experiments and forest health surveys with disease and damage assessment, fungal isolation and culturing, molecular diagnostics, and ecological and statistical data analysis
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discipline relevant to the position, such as economics. You have documented research experience in sustainability transitions, innovation or infrastructure (e.g. energy, water, mobility or food), demonstrated
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work in international or multicultural environments. Experience in method development and experimental troubleshooting. Experience in combinatorial analyses of antimicrobial peptides. Eligibility
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to actively participate in teaching and student supervision, corresponding to a maximum of 20% of full-time employment. Applicants should have experience with basic methods in biomedical laboratory science
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. Experience in winter biological sampling at ice-covered lakes is highly meritorious. Strong skills in statistical analysis, experience in scientific publication, and fluency in written and oral Swedish
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. In addition, the following are requirements for the role: Strong programming and quantitative skills, particularly in Python and/or R. Experience in deep learning, machine learning, or large-scale