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collaboration with survey providers in Denmark and Germany. Analyzing survey data using quantitative methods such as conjoint analysis, regression modeling, and causal inference techniques. Writing academic
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, and bioinformatics to make informed decisions on data analysis and validation experiments. Dr Francavilla’s team is funded by the Novo Nordisk Foundation and LEO Foundation and focuses on regulatory
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, proteomics, and bioinformatics to make informed decisions on data analysis and validation experiments. Dr Francavilla’s team is funded by the Novo Nordisk Foundation and LEO Foundation and focuses
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adaptive laboratory evolution or microbial strain selection Experience with CRISPR/Cas systems for genome editing Familiarity with omics data analysis and/or metabolic modeling Prior involvement in setting
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to: Collect data through e.g. literature studies regarding the raw materials to be used Perform data analysis and interpret results from chemical and microbial analysis of the raw materials Carry out product
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empirical methods, namely on the analysis of: Large-scale microdata sets, in particular, the excellent Danish micro-data; Experiments, both in the laboratory and the field; Other types of primary data like
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chemical trauma scenarios. Further, the plan is to develop a novel quantitative 3D bite mark analysis method. The overall perspective is to secure implementation of 3D dental data within the field
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The Department of Digital Design and Information Studies within the School of Communication and Culture at Aarhus University invites applications for a postdoctoral position affiliated with
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Handling and analysing sequencing data, including long-read and single-cell approaches Handling and analysing transcriptomic data, including spatial transcriptomics Analysis of liquid biopsy data Close
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-tracing methodologies to analyze how business actors attempt to influence policymaking and public opinion. Gather and analyze archival data, media sources, policy documents, and corporate reports