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, computer science, or a related quantitative field for a two-year Postdoctoral Research Fellow position. This position involves developing statistical methods, data analytic tools, and mathematical models
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utilization, and disparities in access to mental health care. The most important task of the Research Assistant will be to use statistical software to work with large data sets, including possibly health
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statistical analysis, and model verification. Reliably execute long-term plans using heterogeneous external tools: improving automated planning and decision-making in complex open environments. Postdoctoral
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, in collaboration with Dr. Ciocca Eller Conduct statistical analyses of data and process and clean raw data using Stata Prepare literature reviews, background research, and other content for project
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of the study’s data dictionary. Other duties as required. Basic Qualifications College background and two or more years related research experience. Applicant should have proficiency in using statistical software
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in interview data to patterns found in academic transcript data, in collaboration with Dr. Ciocca Eller Conduct statistical analyses of data and process and clean raw data using Stata Prepare
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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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analysis and statistics. Experience with designing and executing cell-culture based, host-microbiota interaction studies including attachment-invasion assays, transwell assays, and working with bacterial
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, reporting experiment results using a variety of scientific, word processing, spreadsheet or statistical software applications or program platforms in collaboration Organize and manage laboratory databases and
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, spreadsheet or statistical software applications or program platforms. May process orders or invoices or undertake other clerical and simple accounting duties under the direction of administrative personnel