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merit. Experience of and interest in the analysis of medical images, omics data or other types of health data is considered advantageous. Strong programming and software development skills and familiarity
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ecology predictions and empirical data on the evolution of sex-specific differences in immunity and life history traits. As we intend to conduct interviews also during the application period, we appreciate
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competence with data analysis with MATLAB or Igor programs. Your benefits You will have access to the university’s staff benefits, including the opportunity for flexible multi-location work excellent
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translocation in the nanopore and deep data analysis will be handled by other researchers, discussed and solved together in the consortium. You will work together with our multidiciplinary team , and have access
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or related fields Practical experience with omics data analysis in a biomedical context A solid knowledge of single cell omics technologies and data analysis A strong research record Advantages Experience in
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observational and/or modelling datasets, and statistical data analysis is a requirement. Ability for independent scientific work Teaching skills Strong English language skills both in oral and written
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, providing direct feedback on theory analysis and further predictions. The goal is to develop a theoretical and computational approach that has strong predictive power for finding completely new types
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. The work provides the possibility to develop skills in microbiology, data analysis, bioinformatics and molecular dating methods in an international and multidisciplinary setting and gain a competitive
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knowledge, the goal is to elucidate bacterial genetic evolution that was shaped by human influence and make predictions to the future. The work provides the possibility to develop skills in microbiology, data