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-Norm) is preferred. Experience with citizen science, co-creation, or other participatory/qualitative research methods is an advantage. Strong quantitative and statistical analysis skills (e.g. SPSS, R
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Computational Sciences or similar. You have strong expertise on analyses of biology-related large datasets. Expertise in single-cell and spatial data analysis, spatial statistics and annotation is an advantage
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vesicle-based signalling to nutrient-use efficiency. Manage data, perform statistical analysis and exchange results with project partners producing synthetic EVs and modelling the data. Contribute
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microbial ecology can be used to inform sustainable management practices that increase soil carbon stocks and reduce nitrogen losses. And the main focus of your position will be soil molecular analysis and
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and KMS States, Probability Theory and Analysis. The list may be updated with new areas up until the deadline for application. As a successful candidate you are expected to: shine in individual and
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of Computer Science at Aarhus University has a strong research and education profile that spans theoretical and practical computer science. The Data-Intensive Systems group studies management and analysis of complex
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engineering, rheology, digitalisation, and advanced data analysis. The section is also equipped with pilot facilities for brewing, dairy and bioprocessing. Further information on the Department is linked
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, and modification of food components, kinetics, oxidation, food engineering, rheology, digitalisation, and advanced data analysis. The section is also equipped with pilot facilities for brewing, dairy
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colleagues dealing with CCUS, and industrial partners in Denmark as well as abroad. Your primary tasks will be to: Perform physical-chemical analysis of solvents and gases Perform corrosion experiments
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Learning and data analysis and are motivated to apply these skills to complex materials and production systems. You are familiar with polymer materials and processing, and you have knowledge of techniques