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interviews, and analyzing qualitative data using appropriate methodologies. Quantitatively, they should be able to support instrument validation and psychometric analysis, clean and integrate datasets from
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retention of assigned staff. Forecasts staffing, capital and operating budget needs in evaluating and reporting on market sensitivity, financial analysis, space utilization review, staff performance
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scientific computing, image analysis and visualization research. Over two decades, SCI has established itself as an internationally-recognized leader in data science and has graduated over 400 students and
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in the development and execution of data collection protocols, implementation facilitation support, data analysis, and writing. Fellows will be required to attend project team meetings, oversee