-
analysis, expertise in multi-omics data integration, and working experience with computational modeling and machine learning. The ideal candidate will be able to process and analyze high dimensional
-
modeling and machine learning. The ideal candidate will work independently and will be able to process and analyze high dimensional omics data (genomic, epigenomic, transcriptomic and metabolomic
-
etiology of mental and behavioral disorders through machine learning and statistical approaches. The candidate will analyze DNA methylation and single-cell multiomics data to identify differentially
-
of genomic, epigenomic, and transcriptomic data processing and analysis, expertise in multi-omics data integration, and working experience with computational modeling and machine learning. The ideal candidate
-
integration, and working knowledge of computational modeling and machine learning. The ideal candidate will be able to analyze high dimensional sequencing data, perform network-based analysis (e.g. , WGCNA) and