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, machine learning, optimization, and statistical data analytics are sought. Successful applicants will have experience applying these tools to a range of data problems, such as time-series analysis
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factors research in transportation or related fields is required, and expertise in statistical analyses is preferred. The applicant must have an interest in improving transportation safety and be willing
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University of Louisville Department of Civil and Environmental Engineering | Louisville, Kentucky | United States | 2 days ago
: Relevant tasks include: 1) leveraging numerical models, statistics, and field monitoring to understand hydrologic processes, especially related to floods; 2) communicating research findings via scientific
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of diversity in society and nature, and engage all individuals to help them thrive. We value inclusion as a core strength and an essential element of our public service mission. CAMPUS SECURITY CRIME STATISTICS
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mission. CAMPUS SECURITY CRIME STATISTICS: Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined
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, etc.) Knowledge of and experience with databases and student information systems (SQL, PeopleSoft, Slate, etc.). Knowledge of statistics and experience using statistical packages for analyzing datasets
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, visualization, and statistical software (e.g., R, Python). Strong presentation and communication skills, both verbal and written. You are detail-oriented and value precision and reproducibility in your work. You
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methods based on plane-wave approaches or raytracing methods and the statistic distributions of field quantities of general validity for the time and frequency domain and different loading conditions are
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. Assists with the creation of tables, figures, and other descriptive statistics Position Status Part Time Hours Per Week Daily Work Shift Day Work Arrangement FLSA Nonexempt Grade 99H Position Salary $15.13
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, with specific experience in the drug and alcohol field being highly regarded proven previous experience in management and statistical analysis of research data, including familiarity with statistical