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RNA sequencing (scRNA-seq) data analysis is preferred. Additional experience in cancer immunology, neutrophil/myeloid cell biology, flow cytometry, bone marrow transplantation, bioinformatics
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binding proteins and RNA metabolism in neurodegenerative diseases ALS/FTD. The research involves iPSC models, biochemical and cellular approaches, and NextGen sequencing techniques. Visa sponsorship is not
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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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analysis of metagenomic and viromic sequencing datasets generated through the laboratory’s bacteriophage research program. Primary responsibilities will include sequence quality control, metagenomic assembly
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magic-angle spinning (MAS), fast MAS, proton (^1H) detection, multinuclear NMR spectroscopy, dynamic nuclear polarization (DNP), or NMR pulse-sequence development. Experience characterizing pharmaceutical
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, DNA/RNA extraction, Sanger and amplicon sequencing, and analysis of editing outcomes. Track record of first-author peer-reviewed publications. Strong written and oral communication in English, and the
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cancer, or related field Preferred Qualifications: Experience working with mammalian cell culture and animal models of cancer (xenografts and GEMMs) Familiarity with next-generation sequencing platforms
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), obtained less than 5 years ago. Other Qualifying Skills and Abilities: Familiarity and experience with R and Python programming is essential. Experience in the analysis of next-generation sequencing data is
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, including SARS-CoV-2, mpox, measles, and H5 influenza, and have sequenced hundreds of thousands of viral, bacterial, fungal, and eukaryotic parasite genomes to advance our understanding of infectious disease
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time frames, population genomics across socioeconomic landscapes, and the heritability of stress induced epigenetic marks. A variety of next-generation sequencing approaches may be employed, including