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-based programs for document editing, email, scheduling, and basic spreadsheet skills. Manages calendars, faculty/student travel, reimbursements, requisitions, procurement, class websites, event planning
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equitable scholarly environment in research, mentoring, and service. Your work will focus on the SEAMLESS (SEmi-Automated Machine LEarning Search for Semi-resolved galaxies) survey, whose goal is to identify
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Bachelor's degree or equivalent advanced learning attained through professional level experience required. Minimum of 3 years of related work experience or equivalent combination of education and work
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also discover how to operate the large machinery that process the mirrors, and monitor the computer programs during machine operation to record necessary documentation. They will also learn the different
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(RedCap, Access, etc.) and competence in statistical software package (SAS, SPSS, Stata, or R). Knowledge of university procedures/policies regarding Sponsored Projects and IRB. Computer literate in all
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procedures/policies regarding Sponsored Projects and IRB. Computer literate in all critical programs (Microsoft Word, Power Point, Excel and Publisher) and the aptitude to learn new software as necessary
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synthesizing program data, operational insights, and stakeholder feedback to inform continuous improvement efforts across educational programs Knowledge, Skills, and Abilities: Strong computer skills (Microsoft
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. Monitors and enters statuses, locations, and activity of public safety personnel on a computer-aided dispatch (CAD) system. Monitors security cameras, fire and intrusion alarms and dispatches accordingly
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procedures characterized by moderate use of independent judgment. Maintains detailed records of studies conducted, organizes data, prepares data for computer input and records computer output. Data entry and
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employing standard and advanced statistical methods, including machine learning algorithms. The incumbent will also pursue independent research interests, secure extramural funding, and contribute to academic