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& Statistics Department's Website: https://ualr.edu/mathematics/ Summary of Job Duties: The University of Arkansas at Little Rock is seeking a 9-month, non-tenured instructor. Job duties and responsibilities
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Duties: The Teaching Assistant Professor of Educational Statistics and Research Methods is a non-tenure track position hired to teach in the newly developed graduate programs focused on Healthcare Business
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Resources at 870.575.8400 . Department: Math & Computer Science Department's Website: Summary of Job Duties: Teach undergraduate courses in Mathematics, Computer Science, Statistics, or Data Science according
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Resources at 870.575.8400 . Department: Math & Computer Science Department's Website: Summary of Job Duties: Teach undergraduate courses in Mathematics, Computer Science, Statistics, or Data Science according
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the quality of research conducted at UAMS by providing expert statistical guidance to UAMS investigators. With minimal guidance of Biostatistics Faculty or advanced research staff, the Biostatistician II
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of research conducted at UAMS by providing expert statistical guidance to UAMS investigators. With minimal guidance of Biostatistics Faculty or advanced research staff, the Biostatistician II commonly assists
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at the instructor or professorate level to be determined by qualifications. Teach a wide range of undergraduate mathematics and statistics courses including general education, service, and mathematics/statistics
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maintain collegial, harmonious working relationships with others. Qualifications: Minimum Qualifications: Formal education equivalent of a master’s degree in Statistics, Analytics, Computer Science, or a
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the food system -Review scientific and applied literature to identify appropriate materials, statistical techniques, or methods applicable to the area of research. -Train undergraduate and graduate students
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Assistant is responsible for collecting, compiling, and analyzing various research and statistical data. This position is governed by state and federal laws and agency policy. Regular, reliable, and non