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The Opportunity The Department of Statistics and Data Science at the University of Central Florida (UCF) in Orlando, FL is seeking an assistant professor to teach undergraduate and graduate
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conducting research related to gender-based violence. Comprehensive understanding of relevant research and analytic methods. Intermediate or advanced experience with statistical software (e.g., SPSS, Stata
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computer science, statistics, computer engineering, artificial intelligence, machine learning, complex adaptive systems, agent-based modeling, agent-based computation economics, data science, computational
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into the tracking tables. Filing student documents, emails and records. Maintaining statistical program information for applicants and interviews. May include performing front desk/reception tasks for Career Services
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ordering of supplies. Collect, organize, and evaluate statistical information for facility usage. Assist with departmental assessment. Provide written reports on facility activities for the RWC. Coordinate
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guidelines - including completion of a comprehensive self-study report and performance in practice reports. Develop, administer, and analyze assessment/evaluation questionnaires, and statistics and prepare
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applicants are still being considered and do not need to reapply. Responsibilities: Take and record vital signs and statistics on all patients. Maintain confidentiality of patient records. Room patient via
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statistical software Strong scientific writing skills Awareness of and commitment to community-based research approaches Strong interest in disseminating findings to public audiences Established track record
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quality improvement processes, and dissemination of results. Anticipated Start Date: July 1, 2024| Responsibilities: Conduct advanced grant-funded research, including data collection, statistical analyses
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changes are needed. Prepare annual reports, monthly reports, and weekly reports with accurate statistical information. Participate in University Crisis Team meetings and present relevant case material as