42 Statistics positions at University of North Texas at Dallas in united-States in United States
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Posting Details Minimum Qualifications BA/BS in biology, chemistry, forensic science related discipline; completed coursework in molecular biology, genetics, biochemistry; and a statistics course from an
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mathematical and technical ability. Strong analytical skills. Intermediate to advanced knowledge of statistical packages and relational database design and logic. Advanced proficiency in Microsoft Office
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statistical analysis program such as R. Knowledge of programming in SAS, SPSS, and SQL. Knowledge of data analysis and research design methodologies. Capacity for independent and creative thinking and writing
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Educational Psychology PhD organized around four concentrations: Gifted and Talented Education; Human Development and Family Science; Learning Sciences; and Research Methodology, Measurement, & Statistics
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Time/Part Time Part-Time Pay Rate $12.00/hr Salary Information Department Summary The UNT Dallas Learning Commons offers tutorial assistance in various STEM subjects (math, science, statistics
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discipline from an AACSB-accredited school. Experience teaching introductory undergraduate business statistics and upper-level courses in decision sciences, data sciences, and business analytics. Experience
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success. Provides office support in keeping up to date with trends in ADA compliance and accommodation issues; contributes to budgetary management and statistical collection. Serves as primary outreach
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from an AACSB-accredited school. Experience teaching introductory undergraduate business statistics and upper-level courses in decision sciences, data sciences, and business analytics. Experience using
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, statistics, accounting, etc.) to students who need supplemental academic support. The Undergraduate Learning Consultant serves as an important team member in the Learning Commons STEM Center. He/she works
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to student success. Anticipated instructional needs include, but are not limited to, data analytics, applied statistics, machine learning, AI, and data engineering. Candidates with experience teaching at