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research and develop and deliver trainings on data analysis using statistical and computational methods (including AI) for graduate students, postdoctoral associates, faculty, and staff IFAS-wide
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constituent elements of the program are operational and progressing towards agreed-upon goals. This includes adapting to emerging threats and disturbances while maintaining progress on longer-term initiatives
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assistants’ (TAs) – determine roles and responsibilities and assist in execution Conduct longitudinal analysis on student performance in various department courses Consult educational teaching and learning
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leadership and staff, often requiring the compilation and analysis of financial and personnel data. Utilizes tools such as PeopleSoft Enterprise Reporting and pivot tables to generate insights and
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analysis, summary and verification. Ability to communicate effectively, verbally and in writing with students, faculty, staff and a variety of personalities; needs strong combination of public relations
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Program. They are advisors and mentors to a wide variety of students. Our current faculty members are leaders in artificial intelligence, big data analysis, cancer, genetics, infectious disease modeling and
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tools such as REDCap, etc., and work with the study team or analyst to prepare data for analysis. Assist with literature searches, help develop academic output to include abstracts, conference
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management, data analysis, recruitment, and leading/contributing to manuscripts related to the project. The associate may also work to develop culturally appropriate education and dissemination based
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program. These methods will require statistical expertise and high level skills in data management and analysis. The successful candidate will have the opportunity to mentor students in collaboration with
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and survey tools such as Qualtrics Proficiency in Microsoft Office Word, Outlook, PowerPoint, and data analysis software (Excel, SPSS) Excellent written and verbal communication skills ABILITIES Ability