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/Seurat, count models, batch correction, differential analyses). Strong grounding in statistics (GLMs, hierarchical/Bayesian modeling, multiple testing) and experimental-design principles. Bioinformatics
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computing, data pipelining, applied statistics, robotics, Bayesian estimation, SLAM Applicant must have a dynamic skill set, be willing to work with new technologies, be highly organized and capable
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Compensation Estimator to calculate the total compensation value with benefits. Qualifications 6 months of experience in job offered, or as a statistician, statistical programmer or a related occupational title
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to implement advanced computational pipelines, including machine learning, deep learning, Bayesian inference, and probabilistic mixed membership modeling for innovative research. · Contribute
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include Bayesian data analysis, nonparametric statistics, functional data analysis, spatio-temporal statistics, and machine learning/artificial intelligence. Many of our projects involve dynamic processes
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. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous. The ability to work
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administrative records—to produce, critique, and improve estimates that inform global health policy. You are someone who thrives in a collaborative, fast-paced environment, can manage multiple projects
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, as well as machine learning techniques. Experience to adapt existing methodology to new situations. Thorough skills in analysis and consultation. Demonstrated experience with data analysis, computer
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Case Western Reserve University is committed to providing a transparent estimate of the salary for this position at the time of its posting. The starting salary is $52,705. Employees receive
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executing methods to integrate data from different sources, including developing a Bayesian Hierarchical Modeling framework; (2) using integrative modeling approaches to characterize heterogeneous protein