89 Statistics positions at Michigan State University in United-States in United States
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/Experience/Skills Knowledge equivalent to that which normally would be acquired by completing one or two years of post-bachelor degree work, such as a Master's in Educational Administration, Statistics
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, implementation, data management, statistical analysis, and dissemination of primary care research for the Collaborative. This individual will collaborate with primary care practices, including the Family Medicine
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. - Analyze data using statistical methods and present it at group meetings. - Collaborate with lab members on the project and discuss experimental plans. - Present data at weekly lab meeting. - Meet biweekly
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of the research associate may include, but are not limited to: Leading the writing and preparation of manuscripts for peer-reviewed publication Designing and implementing inferential statistics pipelines to analyze
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conducting statistical analysis using SPSS. Desired Qualifications Experience working independently, commitment to maintaining confidentiality and strong computer skills, knowledge of SPSS and statistical
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Experience working with Git or other version control platforms Experience with NetLogo and building agent-based models Experience with Bayesian statistical methods Experience with machine learning and AI Equal
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Details Posted: 27-Apr-24 Location: East Lansing, Michigan Salary: Open Categories: Academic/Faculty Mathematics/Statistics Internal Number: 858696 Position Summary The Zipkin Quantitative Ecology
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acquired by completing one or two years of post-bachelor degree work, such as a Master's in Educational Administration, Statistics, Economics or Research Methodology Three to five years of related and
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, gene expression analysis, etc. Skill and experience of working in the greenhouse and field for the evaluation of soybean biological traits independently. Skill in experimental design, statistical
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; constructing variables needed for reporting and analysis, including those from Medicaid claims and census neighborhood-level variables; preparing descriptive statistics with reports on data accuracy and missing