94 Statistics positions at Michigan State University in Ireland-United-Kingdom in United States
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collected in research projects, including quality assurance, scoring of instruments, merging and transformations of data sets for statistical analyses; conducting analyses of data from clinical trials and
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of instruments, merging and transformations of data sets for statistical analyses; conducting analyses of data from clinical trials and observational studies, including health insurance claims data; preparation
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Back to search results Apply now Job no:944223 Work type:Faculty/Academic Staff Major Administrative Unit / College: Research And Innovation Department: Ctr For Statistical Training Consulting
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checks and address missing data Performing statistical analysis including creating calculated or computed variables Writing, editing, and formatting reports and manuscripts Coordinating data activities
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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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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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Back to search results Apply now Job no:931122 Work type:Faculty/Academic Staff Major Administrative Unit / College: College Of Natural Science Department: Statistics & Probability 10032798 Sub Area
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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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, 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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scripts. • Writing documentation on existing SQL/Python scripts and newly created scripts. • Creating predictive statistical models (including neural network and tree-based logic models) using large