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, creative, and well-organized candidate with experience in stem cell and cancer biology, molecular biology, next-generation sequencing techniques, bioinformatics, proteomic analysis, and animal handling
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) utilizing integrative data analysis to harmonize phenotypic data across a number of large, genetically-informed longitudinal study samples with the goal of characterizing the longitudinal interplay between
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at Indiana University is seeking applicants for a post-doctoral position. Our DOE-funded efforts include leading roles NOvA operations and data analysis and DUNE construction and data analysis
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required, including proficiency with basic data analysis programs (Excel, GraphPad Prism, sequence analysis software, etc.) and application of statistics. A record of accomplishment and publication in
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secondary data analysis. Opportunities exist to develop and lead new projects in this topic area and to contribute to grant development. The postdoctoral fellow will contribute to study design, mixed methods
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neural and behavioral mechanisms underlying response to such treatments, are encouraged to apply. The fellow will actively participate in implementation, data analysis, and dissemination of findings
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, wildfires, etc.—and/or the human impacts of those events—such as heat-related mortality, disaster-related losses, etc. The job will require data analysis and visualization, preparation and submission
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experience in one or more of: large-scale data analysis, time-series photometry, spectroscopy, astrometry, Bayesian/statistical inference, and/or software development for astronomical datasets. Department
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features. Build and test pipelines for pose detection, object tracking, optical-flow analysis, and gaze–scene alignment, in collaboration with computer vision researchers. Analyze large multimodal datasets
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. Successful candidates will bring experience with survey methodology, psychometrics, and/or quantitative research design; along with proficiency in statistical analysis and data visualization tools