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-generation sequencing and single-cell technologies (e.g., scRNA-seq, scATAC-seq, scTR-seq, and/or spatial transcriptomics). Previous experience in both Bioinformatics/Genomics and Cancer Biology is desirable
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development, progression, metastasis, and prognosis. The Postdoc should have experience in processing and analyzing data from the next-generation sequencing and single-cell technologies (e.g., scRNA-seq
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leaves durable epigenetic and transcriptional scars that shape long term immunity, inflammation, and lung repair. This position is ideal for scientists excited to combine single cell transcriptomics and
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(ASO)-mediated mRNA modification, single-cell RNA sequencing, confocal live imaging, and biochemical assays to explore the mechanisms underlying neurological disorders and develop novel gene therapies
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degenerative diseases. Focuses heavily on analysis of high-throughput bulk and single-cell multi-omic data (ATAC-seq and RNA-seq) in ocular tissues. Performs other job-related duties as assigned. Minimum
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knowledge of the biological principles driving brain tumors, and proven experience with implementation of bioinformatics (single-cell genomics, epigenomic platforms, mutation analyses). Baylor College
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heavily on analysis of high-throughput bulk and single-cell multi-omic data (ATAC-seq and RNA-seq) in ocular tissues. Performs other job-related duties as assigned. Minimum Qualifications MD or Ph.D. in
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, cell biology, biochemistry physiology, pharmacology or a related field. Experience in the research of cardiovascular biology, inflammation and cell metabolism is desired. Be self-motivated and has strong
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follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates. Job Duties Develop new and innovative strategies for the analysis of cutting-edge single cell transcriptomic datasets
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, Cell & Molecular Biology or related field. Post doctoral Associate less than 2 year from date of Ph.D. conferral date. Experience in CRISPR based functional genomics, iPSC derived organoids, and murine