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animal species, generating standardized data that works effectively across diverse languages and cultural contexts while eliminating traditional barriers of recall bias. These methods are being deployed in
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, neurobiological, and clinical data to develop and validate predictive models of psychiatric risk. Prepare manuscripts for peer-reviewed journals and present findings at national and international conferences
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to utilize EBV and HIV-1 infection data together with multiscale ABM simulations to identify key mechanistic drivers of viral persistence and immune response, and use SciML to automatically select ODE/PDE
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related field prior to the start date. Responsibilities for both positions will include collaborating on the development of research protocols, data collection and analysis, budget and supply management
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starting the postdoc and must have prior publications. To apply, please submit a cover letter, CV, statement of research interest, names and contact information for three references and a publication list
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to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, (including pregnancy and pregnancy related conditions), sexual orientation
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candidate will work directly with experimental scientists within a wet lab setting to facilitate the management, analysis, and visualization of the mass spectrometry-based proteomic data generated in our
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information of 3-5 references and copy of research statement. Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender
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employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and
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Immunology, Data Science and/or related fields. MD/PhD with molecular biology research experience. Must have experience with analyzing omics data. Familiarity or direct experience with analysis of 10x Genomics