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knowledge recombination, conceptual distance, topic novelty, and uncertainty. The project will mostly rely on econometric analysis of large-scale microdata sets for researchers in Denmark, in particular, high
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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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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
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colleagues in the group and external partners in Denmark and abroad. You will work with the design and execution of research studies, the analysis and interpretation of data, and the dissemination of results
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The SDU Adaptive Intelligence Lab (ADIN Lab) (https://adinlab.github.io/ ) located under the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA
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Laboratory, which investigates how post-translational modification (PTM) networks regulate protein function, genome stability, and cellular decision-making. The laboratory builds on internationally recognized
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with sustainability assessment methods, including life cycle assessment and related modelling approaches, and you have applied these in cases and analysis related to biobased products and the bioeconomy
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Professor Jesper W. Schneider. The position will involve a combination of quantitative and qualitative research tasks, including bibliometric analysis, social network analysis, survey design and analysis
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pipelines. Key Responsibilities In JIP2-SOA23, standardize the use of analysis tools for the mapping, annotation and analysis of whole genome sequences of hosts (e.g. cattle, pig) and pathogens (e.g. viral
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pipelines. Key Responsibilities In JIP2-SOA23, standardize the use of analysis tools for the mapping, annotation and analysis of whole genome sequences of hosts (e.g. cattle, pig) and pathogens (e.g. viral