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directions that can seed future independent positions. Work Performed Depending on candidate interests and expertise, projects may involve: Analysis of global dietary patterns using genomic approaches
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, United States of America [map ] Subject Areas: Climate Science Atmospheric Sciences Quantitative Analysis Appl Deadline: (posted 2025/05/12, listed until 2025/06/23) Position Description: Apply Today is the last day you can
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://sites.duke.edu/yanglab/). Be part of a dynamic, interdisciplinary team working to unravel the unknown functions of membrane ion channels and lipid transporters in human health. Develop novel therapeutic approaches
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functional data analysis, tensor regression, high-dimensional variable selection, longitudinal and survival analysis, machine/deep learning, bioinformatics methods in -omics data are preferred. Demonstrated
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-analysis project, Bayesian background with experience in hierarchical modelling and mixed effect models is preferred. The second project, knowledge in survival analysis and machine learning is desired
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. The Postdoctoral Associate will apply his/her technical skills toward development and implementation of machine learning, computer vision, and other algorithms for analysis of medical images and prognostication as
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, FACS/flow cytometry, and single cell multiomics among other assays to resolve the role of lncRNAs, such as Xist, in establishing, maintaining, and disrupting immune tolerance. The successful candidate
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specialists to advance the science in GSDs. This postdoc position requires a minimum two-year commitment and will consist of a hybrid work arrangement (approximately 60% in office, 40% remote). This position
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this program; no new applications will be accepted after 2025/06/06 11:59PM US Eastern Time. Description The Duke University Program in Environmental Health, part of the Integrated Toxicology and Environmental
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of Dr. Xiaofei Wang. The Postdoc Associate will also work closely with Dr. Shu Yang from the Department of Statistics at NC State and other clinical and methodology investigators from Duke University