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alone ––without a deep understanding of Ecology or Evolutionary Biology would in principle not be enough for this position. Fluency in data analysis in R, and strong experimental skills are essential
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for control and analysis of instruments, applying these systems to the study of human diseases, and acquiring and analyzing clinical data sets. Programming skills should include MATLAB, Labview, Python and/or C
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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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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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) to develop novel approaches for overcoming resistance in immunotherapy and for enhancing hematological and immunological recovery in radiation exposure; 2) to perform experiments and collect data, and to
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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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addition to a cover letter, please include: • a C.V. • names and contact information for three references. Application due date is November 1, 2025. Duke is an Equal Opportunity Employer committed to providing
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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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, fluorescence and confocal microscopes. Analyze images using image analysis software, obtain data for publication. · Prepare protein for western blots and analyze data. · Design and perform molecular assays
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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