Sort by
Refine Your Search
-
Listed
-
Program
-
Field
-
computational analysis of omics data. Projects will apply computational, statistical and bioinformatics approaches to integrate multi-omics’ datasets such as genome sequences, bulk RNA-seq, single-cell RNA-seq
-
building hosting many interdisciplinary research teams, including the Institute of Genome Sciences. The salary will be aligned with NIH and UMB pay scales. Application Process: To apply, please submit
-
, particularly the lungs and esophagus. The division's research lab is rich in multiple basic, translational, and patient-directed clinical trials exploring lung transplantation and lung cancer and novel ways
-
such as genome sequences, metabolomics, metagenomics, transcriptome, metatranscriptomics, bulk RNA-seq, and single-cell RNA-seq, to holistically understand the mechanistic role of human microbiome
-
extraction and TLC analysis, immunoprecipitation and protein purification, ChIP assays, and/or sample preparations for single cell or nucleus RNA sequencing. To apply for this position, please send your CV
-
including RNA, DNA, and extracellular vesicles isolations, QPCR, western blot, microarrays, and RNA sequencing is expected. Experience with flow cytometry is preferred. Experience in the analysis of genomics
-
, we investigate the role of enhancers in transcription control, and how changes in enhancer activity affects cell physiology and cancer transformation. We adopt innovative sequencing technologies (RNA
-
published scientific paper. Experience in the analysis of genomics data and next-generation sequencing library preparations such as RNA-seq, ChIP-Seq, are preferred. Any skills with CRISPR genome engineering
-
including but not limited to immune cell culture assays, flow cytometry, Western blotting, Q-PCR, library creation and RNA and DNA sequencing Experience working with human samples is preferred Strong writing
-
research has been funded by multiple NIH R01 grants and industry grants with awards from AAPM and ASTRO. Dr. Ren is a Fellow of AAPM. Details about Dr. Ren’s profile can be found at the following link: https