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demonstrated by publications in peer-reviewed journals. Preferred Qualifications: · Prior postdoctoral training experience (1–4 years preferred). · Expertise in CRISPR-Cas9 technology, including
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Informatics (BIOS), faculty, postdoctoral fellows, and students in the department apply analytic methods, statistical reasoning and information management techniques to the design and analysis of studies in
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to join our team. Our lab focuses on developing and applying innovative statistical machine learning methods, single-cell multi-omics, and systems immunology approaches to investigate immune-mediated
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Zebrafish and/or mouse skeletal and non-skeletal tissue harvest for histological analysis, including embedding, sectioning and imaging Fluorescent imaging (lightsheet, confocal, dissecting) of zebrafish
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molecular biology techniques Experience in standard computer software related to writing, data analysis, and data presentation. Condition of Employment: Willingness to conduct in vivo experiments in mouse
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-bacterial antibodies and correlate with clinical features. · Develop cellular assays to examine human B cell development at a mucosal surface in response to bacteria. · Utilize mouse models of RA
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experiments Perform microscopy-based imaging techniques to study membrane and vesicle trafficking Carry out DNA, RNA harvesting for single-cell sequencing and analysis. Design, plan, and troubleshoot
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laboratory setting, studying immunology, molecular biology, hematology and/or stem cell biology. Experience with the use of advanced flow cytometry equipment (including LSRII and FACSAria II) for analysis and
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. Use of animal model systems to study leukemia pathogenesis. Analysis and Publication of Research Data (20% of Time Spent) Mentoring of students and technical staff (5% of Time Spent) Prepare data and
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, imaging techniques, and bioinformatic analysis. Successful applicants will need to work both independently and collaboratively, to exhibit excellent skills in scientific communication, and dedicated