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interdisciplinary research addressing climate, environment, and/or sustainability challenges. PREFERRED: - Strong quantitative skills in applied economic or financial analysis, including experience with causal
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. quantitative and/or qualitative counterfactual-based approaches, Difference in Difference models, Qualitative Comparative Analysis, Bayesian hierarchical modelling); o Experience working with and synthesizing
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proposal with the study group under the direction of PI. Lead pilot data gathering and analysis for the proposal as needed Adhere to timelines Choose Duke. Join our award-winning team and be part of
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, deep learning Computational genomics, network modeling, spatiotemporal/functional data analysis, time-series Strong programming in R and/or Python; best practices in reproducible research Excellent
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/bioinformatics, and data science. Work Performed · Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists · Lead statistical analysis
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, Molecular Biology, or a related field Preferred Qualifications: Expertise in experimental design and quantitative data analysis Strong written and verbal communication skills, attention to detail, and ability
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expected to engage in research at the interface of mathematics, data analysis, and life sciences. Possible research topics include mathematical modeling of microtubule dynamics in neuronal cells, analysis
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July 2026 and end June 2028. CDS and the History Department welcome applications from scholars no more than two years out from the receipt of the Ph.D. whose research is rooted in historical analysis
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. Collaborate on pilot studies, including consenting, data collection, analysis, and dissemination. Lead and co-author manuscripts; present findings at scientific meetings. Assist with grant writing and
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hybrid work arrangement. This position will involve bench work as well as analyzing patient data and coordinating analysis of patient samples Duke is an Equal Opportunity Employer committed to providing