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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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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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, or engineering. Preferred Qualifications: The ideal candidate will bring experience or a very strong foundational understanding in areas such as high‑dimensional data analysis and translational research, and must
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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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, 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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limited to environmental economics, urban economics, finance, public policy, data science, or urban planning. Applicants from environmental science or engineering who possess strong economic and causal
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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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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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and sucrose movement. 3) Vulnerability Analysis: Use the developed network representation to explore how the plant hydraulic network responds to progressive drought stress; characterize cascading