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, scale and resolution in which in vivo pathways of immune cells can be unraveled. Furthermore, it provides a goldmine for training causal machine learning models to move towards precision medicine
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in situ across length scales and relate their structure/organization to fertility phenotypes. The work includes include (i) investigating the 3D structure and composition of unknown macromolecular
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with large-scale data analysis, such as genomics or transcriptomics data Experience with a workflow management system such as Snakemake or Nextflow A willingness to learn and apply machine learning
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