17 research-assistant-in-statistics Postdoctoral positions at University of Minnesota
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traps, statistical analysis of animal behavior, and GIS/geospatial analysis. The task of the new team member will be to capture and radio collar foxes and coyotes in and around the Twin Cities Metro Area
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environment and appreciation of differences in the workplace The selected candidate must have, or be able to acquire, Special Sworn Status, to work in the Federal Statistical Research Data Center (FSRDC), of
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Previous Job Job Title Post-Doctoral Associate in Statistical Genetics/Omics Next Job Apply for Job Job ID 369329 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Summary of Position: A postdoc position is immediately available to perform molecular biology and biochemistry research
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scientist to join our research investigating how constructed stormwater ponds function, to better design and manage their use to improve water quality. With funding from the Minnesota Stormwater Research
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. Matthew Winn and his collaborators on topics related to speech perception, hearing impairment, and listening effort. This 6-month PA research position is supported by funding from the National Institutes
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involving agricultural activities. Of interest is the study of water flow processes and the transport of agricultural chemicals such as nitrate-nitrogen and phosphorus. The researcher will utilize various
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research sites with the Principal Investigator. These activities will be targeted to publishing peer-reviewed journal articles, updating nitrogen fertilizer best management practices (BMPs) and assisting
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/Quantification ● Intro to Psychological Data Analysis/Statistics ● Intro to Psych Research Methods ● Psy 5993 Research Lab in Psychology 20% Statistics Readiness Content Development: The incumbent will also
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Preferred Qualifications: • Demonstrated productivity through first-author and collaborative publications in immunology • Strong background in experimental design, statistical data analysis, and data