92 Statistics positions at Michigan State University in United-states 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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Epidemiology and Biostatistics. Research interests in methods and applications include health services research, longitudinal and correlated data analysis, survival analysis, statistical genetics, causal
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, MatLab, or Python is preferred; experience with data analysis and statistics including data presentation; interest in biological questions related to infectious diseases including a strong desire to learn
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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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conceiving of a project Performance experiments Statistical analysis of data Strong writing skills Desired Qualifications Experience in packaging, biomaterials and sustainability is desired but not required
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entomology, ecology, statistics, biological control, pest management, biology or related fields with evidence of a successful publication record and ability to work in teams with people from diverse
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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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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