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immunodominance. To support this work, we have developed innovative platforms for the efficient discovery and characterization of rare antigen-specific B cells—tools designed to be broadly applicable across
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science methods application and dissemination Demonstrated proficiency through previous developed analytical codes with R Language for Statistical computing, and qualitative analysis using NVivo
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methods to single-cell multi-omics and epigenomic data in applications focused on gene regulation and noncoding variant interpretation. Publish in top venues, present at major conferences, and contribute
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opportunities to contribute to data analysis, manuscripts, presentations at local and national conferences, and grant applications, all of which are built in and expected to grow over time. Be You. Key
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least 1 first/co-first author publication in a peer-reviewed journal. The ideal candidate will have demonstrated the ability to work independently, as well as part of a team. The application materials
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conferences. Prepare manuscripts for publication in high-impact peer-reviewed journals and contribute to grant applications, fellowship proposals, progress reports, and other scientific communications. Mentor
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equipment and software Duke University is an equal-opportunity employer committed to fostering a diverse and inclusive workplace. We encourage applicants from all backgrounds to apply. This position is Onsite
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coordinating analysis of patient samples. In addition to a copy of their resume, applicants are encouraged to submit a cover letter detailing their interests and relevant experience(s) based on the job
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Access to state-of-the-art facilities including the Duke Cancer Institute, Duke Functional Genomics Core, and Duke Proteomics Core Strong support for career development, including fellowship application
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) Description: We invite applications for a one-year postdoctoral position (with the option for renewal, potentially up to 3 years) in Professor Dan Ariely’s lab at Duke University. The position focuses