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pursuing significant new initiatives which complement campus-wide plans, including data science as a strategic priority. Opportunities for collaboration exist across mathematics, probability, statistics
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in Business, Management, or related field with 18 graduate credit hours in Statistics, Business Analysis and/or research methods. Two to four years related experience and/or training (online teaching
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, preferably with experience of survey analysis, statistical tools, mixed methods and machine learning. Computer programming skills in Java, Python or similar languages. Experience with software programs such as
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hold a Ph.D. degree in industrial engineering, operations research, engineering, computer science, statistics, or a related field or a related discipline by the employment start date, and demonstrate
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docs and Microsoft Office Ability to learn details of and earn certification for FERPA and CITI compliance Proficiency in descriptive statistical analysis Excellent time management, communication, and
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(including multilevel and longitudinal analyses of nested data) and experience with statistical analysis packages (e.g., MPlus, R, STATA) and/or analyzing qualitative data with experience with analysis
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; equipment and materials used in engineering operations; specialized subjects used in the fields of engineering, such as mathematics, statistics, mechanics, power, physics and chemistry; and strength
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subjects used in the fields of engineering, such as mathematics, statistics, mechanics, power, physics, and chemistry; and strength of materials Excellent written and verbal communication skills Ability
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materials used in engineering operations; specialized subjects used in the fields of engineering, such as mathematics, statistics, mechanics, power, physics, and chemistry; and strength of materials Skills
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are especially interested in candidates with expertise in advanced quantitative methods who will contribute to graduate training by teaching advanced statistics courses. Department Information The Department