86 Statistics positions at Michigan State University in Ireland-United-Kingdom in United States
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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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; 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
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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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Initiatives); Libraries projects requiring Technical Services expertise and logistical support, including statistics, reporting, inventory management, etc.; ensure that decisions, processes, and systems across
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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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evaluations, microbiological studies and design and validation of novel packaging, and general lab upkeep. The postdoctoral candidate will perform statistical analysis or will interpreted statistical results
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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
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/access, and the application of statistical and econometric methods to transportation data. The successful applicant will lead day-to-day activities on various research projects funded by public and private
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Qualifications Understanding of statistical software such as SPSS and/or mapping tools such as Tableau Experience in Microsoft programs (Excel, Word, PowerPoint) Work experience with community groups and
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utilizing data products from the LAGOS research platform (https://lagoslakes.org/ ). Experience in working with spatial data and large datasets in statistical programming languages such as R or Python is