-
high-dimensional biological data. Preferred Experience developing deep learning models for multimodal biomedical data. Experience with imaging, single-cell, spatial transcriptomics, electronic health
-
. Preferred Experience with GWAS, biobanks, or population-scale genetics. Experience with single-cell, spatial transcriptomics, or functional genomics. Experience developing research software for large-scale
-
, advanced analytics and cutting-edge -omics technologies, and apply state-of-the art methods in transcriptomics, biochemistry, fluorescence and cryo-electron tomography to illuminate the biology of RNA and
Searches related to transcriptomics
Enter an email to receive alerts for transcriptomics positions