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Field
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background in viral immunology and expertise in cellular immunology and flow cytometry. Experience with respiratory viruses, NGS, and/or bioinformatics is desirable. Salary will follow the NIH postdoctoral
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The Respiratory Viruses Unit is seeking a highly motivated bioinformatician to study the genetic features, diversity, and evolution of respiratory viruses and other viral agents from a bioinformatics perspective
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Rutgers Cancer Institute - Cancer Metabolism and Immunology | New Brunswick, New Jersey | United States | about 18 hours ago
translational cancer research, with access to approaches including molecular and cell biology, biochemistry, animal models, immune profiling, metabolomics, and bioinformatics. Postdoctoral researchers benefit
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at the postdoctoral level to join our team. The primary responsibilities include bioinformatics analyses (including integration of multiple dataset) with a strong focus on single-cell RNA and ATAC sequencing and
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biology, bioinformatics, bioimaging, and genomics, with an emphasis on the bioinformatics analysis of small RNA transcriptomes, and RNA molecular quantification. Working under the direction of the Principal
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fellow is required to catch the newest scientific information and design approaches to archive the goal. Has a strong background in molecular biology, genomics, and bioinformatics is desired. Baylor
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bioinformatics Ability to culture bacteria and corals to manipulate them in laboratory and field station settings. Ability to perform DNA manipulation (e.g., extraction, purification, QC) for molecular community
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. Yiji Xia at [email protected] . Requirements: Bachelor’s degree or higher qualification preferably in biology, bioinformatics, or a related discipline; For the research associate position, applicants
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for the candidate with PhD in computational biology, bioinformatics, pharmacology, pharmacoinformatics or a related field. Established scientific record in both a biological discipline and bioinformatics
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and single-cell omics (transcriptomics, proteomics, epigenomics, metabolomics, meta-transcriptomics, etc.) data. Independently carry out computational and bioinformatics analysis for large-scale spatial