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and populations Knowledge and experience in advanced statistics and software-based statistical analysis of data Experience working with large datasets including medical claims, Strong writing and verbal
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Requirements • Valid Driver's license • High level of interpersonal and organizational skills • Good writing skills Desired Qualifications: • Understanding of statistical software such as SPSS and/or mapping
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, Statistics, Economics or Research Methodology; three to five years of related and progressively more responsible or expansive work experience in research design, statistical methods and knowledge of computer
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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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(thus opening possible candidates without an ecology background). Note that here quantitative refers to ecological theory rather than statistics (having expertise in both is of course a bonus). Also, a
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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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. - 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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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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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