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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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. 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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with our co-PI at UCLA. Responsibilities include study design, supervising and leading data collection, coding, and analysis, and writing of manuscripts for publication, as well as grant preparation
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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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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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: • Animal handling experience. • Intellectual curiosity and a growth mindset. • Biostatistics and bioinformatics expertise for scRNA-seq analysis. • Experience with molecular, cellular, biochemical, and
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experience working in, or in close collaboration with, partners in the Global South; spatial and mixed-methods analysis and/or participatory governance design; experience working with government or civil
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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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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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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