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of sediment transport, water flow, and product performance. Responsibilities also include collecting, organizing, and validating raw data; performing preliminary data analysis; maintaining detailed records
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library users. Please join us for more information about Duke University and the position Tuesday, August 11th at 2:00pm ET. https://duke.zoom.us/j/97882131395?pwd=LgrXgPTvwOj5RmFjxnfbgvY5UDLMvU.1 Meeting
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for programming purposes. Demonstrated ability to relate to diverse audiences. Demonstrated ability to communicate effectively through oral, written and visual means. Demonstrated ability to utilize computer
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Apply now to join FAU, where tomorrow begins. For more information on everything FAU has to offer, please visit www.fau.edu/jobs . Note: Current FAU employees must apply as an internal applicant by
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 16 days ago
Initiative and the American Growth Project, a place-based economic forecasting initiative. Specific job duties include: * Data analysis and modeling: Perform statistical analysis and econometric modeling
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visualization, human-computer interaction, geography, environmental systems, or network analysis are especially encouraged to apply. Other Details This position is available only to enrolled American University
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solutions. Develops reports, dashboards and other visuals to support management and strategic decision making with long-term effects. Minimum Education Required: Bachelors degree in computer science, Data
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of the institute's technical facilities Application and implementation of independent research projects Visualization and presentation of analysis results for scientific publications and presentations. Mentoring
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subjects research. • Statistical analysis and data visualization using R/RStudio, Python, or related software. • Git/GitHub, version control practices, and reproducible research workflows. Salary: $45,000
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experience in administration, business, or operations management preferred. Two or more years of data analysis in quality, analytical, and operations in a Good Manufacturing Practice (GMP) guided environment