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Field
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from MD Anderson Cancer Center, Rice University and UTHealth School of Biomedical Informatics. Job Duties Analyzes large data sets. Analyzes next generation sequencing data (e.g., RNA-seq, whole genome
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computational pipelines for high-throughput sequencing data analysis. Analyze bulk and single-cell transcriptomic datasets (RNA-seq, scRNA-seq). Integrate multi-omics data to uncover novel mechanisms of immune
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), ALS, long Covid and other CNS diseases. · Apply multi-omic profiling (small and long RNA-seq, lipidomics) to define exosomal cargo signatures associated with different disease states. · Develop and
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in one or more of the following areas is especially valued: in vivo tumor or immunotherapy models, functional genomics, CRISPR, mRNA platforms, protein engineering, systems immunology, single-cell RNA
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-cell RNA-seq) Preferred Qualifications Background in statistical or population genetics, including variant annotation and prioritization Experience with single-cell or spatial transcriptomics Familiarity
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spirochetes; ticks or other arthropod vectors; mouse models of infection; bacterial genetic manipulation; fluorescence or electron microscopy; genome sequencing, RNA-seq, or bioinformatics. Experience
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Postdoctoral or research scientist positions in Parkinson's disease, Alzheimer's disease, and Stroke
potential, CD), transmission electron microscopy, proteinase K digestion / dot blot. Neurocircuitry: Candidates with experience using viral vectors, optogenetics, stereotaxic surgery, RNA-seq, single-cell
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techniques, flow cytometry, cell sorting, and/or microscopy Experience in bioinformatics is of great advantage (bulk RNA-seq, single cell RNA-seq) FELASA equivalent certification and experience in planning
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cytometry, MACS and FACS, and confocal/immunofluorescence imaging of normal and leukemic hematopoietic cells and tissues. • Prepare samples and libraries for single-cell RNA-seq, spatial transcriptomics, and
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and analyzes single cell RNA-Sequencing, single cell ATAC-Seq, CITE-Seq, Cut and Run, as well as bulk RNA-Seq, Proteomics, and Metabolomics datasets, generated from pneumonia tuberculosis patient