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, quantitative or mixed methods Experience with evaluation methods is an advantage Experience in project management is an advantage Experience with and interest in close collaboration with practice partners
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single-cell ATAC-seq, single-cell RNA-seq, spatial gene expression, and whole-genome sequencing (with long reads) data. The candidate will get the opportunity to explore new analysis methods using deep
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methodology such as linear mixed models, the bootstrap and delta method, and meta analytic approaches for aggregated and individual-level data from the project database, encompassing large-scale data from
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communication skills. Have substantial experience in conceptual research and theory building. Have command of quantitative or qualitative research methods and related software. Preferably first teaching
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Setup and maintenance of the developed code Integration and development of AI methods in simulation and real systems Profile and requirements The candidates will participate in SDU Robotics’ comprehensive
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combine single-cell ATAC-seq, single-cell RNA-seq, spatial gene expression, and whole-genome sequencing (with long reads) data. The candidate will get the opportunity to explore new analysis methods using