Sort by
Refine Your Search
-
. Analyzes large data sets. Analyzes next generation sequencing data (e.g., RNS-seq, whole genome/exome sequencing). Uses state-of-the-art bioinformatical and statistical tools. Develops new statistical
-
diseases, human tissue, human iPSC-derived pacemaker-like cells and cutting-edge approaches, including single-cell RNA-sequencing, calcium imaging, and electrophysiology assays. Job Duties Plans and conducts
-
, metastasis, and prognosis. The candidate should have experience in processing and analyzing data from the next-generation sequencing and single-cell technologies (e.g., scRNA-seq, scATAC-seq, scTR-seq, and/or
-
Job Description Apply now Job Title: Postdoctoral Associate- Statistical Genetics Division: Human Genome Sequencing Center Work Arrangement: Location: Houston, TX Salary Range: Per NIH Guidelines
-
metabolomics), biochemistry. Individuals with expertise in one or multiple of the following aspects: Patch-clamp electrophysiology, rodent behavior study, RNA-sequencing, proteomics, or other multi-omics studies
-
analyses of genetic variants, flow cytometry, single-cell RNA sequencing, histology, imaging, Western blotting, and mouse models. Analyzes data and prepares manuscripts and presentations at local, national
-
Department of Defense funded project focused on improving the quality of life among women Veterans through systematic and sequenced treatment delivery. Veteran women experience high rates of interpersonal
-
-edge genomic technologies—including ribosome profiling, CLIP-seq, single-cell multiomics, CUT&Tag, and long-read sequencing—to dissect gene regulatory mechanisms at single-cell and systems levels
-
candidate will receive training in analyses of single-cell and bulk-tissue multi-omics data and be expected to participate in multiple projects involving design, implementation and integration of large-scale
-
immune cell co-culture systems to investigate mechanisms of chronic rejection. Evaluates and analyzes data: Performs quantitative analysis of flow cytometry, bulk and single-cell RNA sequencing, and