205 Statistics "University of Wisconsin Whitewater" positions at University of Michigan in america
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with R, Python, Netlogo), statistical analysis/econometrics, and epidemiology modeling. Experience developing mathematical/simulation models to address problems in public health, epidemiology, or health
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statistical reports, excellent customer service and diplomacy and the ability to handle sensitive matters in a discreet manner. The successful candidate will be working in a fast-paced environment with ever
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glucose monitors. The data analyst will analyze and display data from various databases and other sources; clean and construct datasets; develop and/or maintain databases; perform statistical programming
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processes (e.g. applications, approval processes), be comfortable reviewing statistical output, have familiarity with human subjects research, and have the ability and willingness to address challenges and
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and general documentation as requested. Required Qualifications* Intermediate: Bachelor's degree in a related field (e.g., statistics, biostatistics, epidemiology, computer science. data science
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biological insight into the underlying causes of kidney diseases. These approaches include the development of new statistical analysis methods, meta-analysis across cohorts, and the linking of clinical data
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research. Learn methodologies in statistical analyses of research data and outcome measure. Mission Statement Michigan Medicine improves the health of patients, populations and communities through
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in Educational Studies, Statistics, Survey Methodology, Higher Education, or related + 3 years of experience performing assessment and evaluation within higher education, specifically STEM/science
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the Michigan Institute for Data Science (MIDAS). Additional opportunities for collaboration are available with faculty in the Radiation Oncology and Statistics departments. Mission Statement Michigan Medicine
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members seek to understand the function and dysfunction of the human brain. Responsibilities* Develop and apply innovative bioinformatic, statistical, computational, and machine-learning methods to analyze