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with multi-colour flow cytometers. Project experience in virology preferentially knowledge of working in biosafety class 2/3 virus production and virus infected cell culture Single-cell analysis
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, chemistry, microbiology, social science, geography, economics, to policy analysis. Basic as well as applied research is conducted on some of the major challenges facing society, such as pollution and
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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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, including quantitative PTM analysis, mass spectrometry method development, data-independent acquisition (DIA) strategies, laboratory automation, and scalable proteomics workflows. Both positions are initially
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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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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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experience in pig nutrition. Experience in conducting different types of animal experiments. Skills in the analysis of experimental data and the scientific communication of research results. For non