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Apply now » Title: Postdoctoral Associate- Proteomics Division: Pharmacology and Chemical Biology Schedule: Monday - Friday; 8:00 a.m. - 5:00 p.m. Work Location: Houston, TX Salary Range: Per NIH
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group focuses on developing and applying multi-omics technologies (transcriptomics, epigenomics, and proteomics), and combine them with powerful fly genetic tools to study development, aging and age
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transcriptomics, proteomics, and metabolomics to elucidate the mechanisms of diseases. Collaborates with a multidisciplinary team, including bioinformaticians, geneticists, and clinicians, to advance genomic
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experiments will include multiomics analysis, such as bulk RNA and scRNAseq, metabolomics and proteomics analysis. The position will have the opportunity to collaborate with multiple leading groups in the field
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delivery, opto- and chemical genetic and pharmacological methods, transgenic rodents, molecular/cellular neurobiology, omics (transcriptomics, proteomics and metabolomics), biochemistry. More information
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delivery, opto- and chemical genetic and pharmacological methods, transgenic rodents, molecular/cellular neurobiology, omics (transcriptomics, proteomics and metabolomics), biochemistry. More information
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of neurodevelopmental and neuropsychiatric conditions using cutting-edge proximity proteomics, protein engineering, CRISPR genome engineering, computational structural biology, and high-throughput electrophysiological
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new research techniques for funded grants in Dr. Samuel’s lab including developing new methods for NIH grants such as cell surface proteomics. Perform experiments for research projects using established
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, implementation and integration of large-scale datasets and data processing pipelines. Job Duties Analyzes single cell RNA-Sequencing, single cell ATAC-Seq, CITE-Seq, as well as bulk RNA-Seq, Proteomics
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. The position would principally involve sample preparation for next generation sequencing (NGS) across multiple pipelines including DNA and RNA QC, construction of NGS DNA libraries, or support Olink proteomics