-
associations involve non-coding variants that lie within gene regulatory elements — enhancers or promoters. However, a lack of precise tools for the accurate assessment of regulatory activities, especially
-
microenvironments. To achieve that we use state-of-the-art single-cell RNA-seq, multiome, and spatial transcriptomics data generation combined with computational analysis to establish principles of blood lineage
-
concerning senorality and action, and we particularly invite applicants who have any experience in applying concepts from ethnomethodology and conversation analysis. We are also interested in candidates who
-
sequencing and library preparation, molecular biology, organoid culture). However, interest for or previous experience with single cell data analysis and statistical modeling are more than appreciated. Formal
-
experience in computational analysis of sequencing datasets. Experience with neuroscience techniques, such as fiber photometry or stereotactic injections, is advantageous but not required. Experience with