60 structural-reliability-analysis-"https:" Postdoctoral positions at Duke University
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data sets and strong analytical skills in psychology or other social science disciplines is necessary. Responsibilities: Advanced statistical modeling and data analysis – 60% · Conduct advanced
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objectives. Design, execution, and analysis of experiments related to cellular and molecular mechanisms underlying keratinocyte differentiation, melanoma progression, and multiple myeloma drug resistance
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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
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holography and electronic systems 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
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developing study designs, programming experiments, data collection and analysis, manuscript preparation, research presentations, IRB submissions, and the supervision of students and research assistants
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applications from scholars no more than two years out from the receipt of the Ph.D. whose research is rooted in historical analysis, who engage with questions about social equity in both research and teaching
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academic institutions. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also, perform data analysis utilizing medical
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, perform data analysis utilizing medical imaging data, computer models, and statistical tools. The individual will prepare manuscripts and contribute to the development of grant proposals. The McIntyreLab
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of the position term Preference will be given to candidates who have demonstrated research interest and experience in political and policy analysis of consumer credit and debt and/or consumer financial regulation
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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