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of Collections and Strategy to review journal, book, and databases collections Work with the Associate of Collections & Strategy and the Head of Electronic Resources to gather usage statistics and other data
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and weight training Knowledge of basic statistics Recruiting skills Verbal and written communication skills Interpersonal/human relations skills Organizational/planning skills Leadership and
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graduate quantitative statistics and research methods courses within R (e.g., meta analysis, structural equations modeling, multilevel modeling, item response theory, etc.). We also encourage you to apply
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that the candidate has experience in analyzing big data and programming languages such as Python or R. Knowledge of modern statistical techniques such as machine learning and spatial data visualization software ArcGIS
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proficiency in working with large datasets Proficient in machine learning algorithms and concepts Experienced with modern statistical analysis methods Knowledge of immunology, microbiology, and/or vaccinology