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they have applied. For general application assistance or if you have questions about a job posting, please contact Human Resources at 479.575.5351. Department: Department of Mathematical Sciences Research
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Science Foundation funded STEM (Science, Technology, Engineering and Mathematics) Academy. As the second oldest land-grant institution in the state of Arkansas, the mission of this No Excuse University
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agricultural systems. Expertise in machine learning, deep learning, and algorithm development. Solid background in mathematics and statistics. Additional Information: Salary Information: Commensurate with
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Science Foundation funded STEM (Science, Technology, Engineering and Mathematics) Academy. As the second oldest land-grant institution in the state of Arkansas, the mission of this No Excuse University
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mathematics, statistics, finance, accounting, economics, engineering, or a related field from an accredited institution of higher education Preferred Qualifications: Experiences in statistics software such as
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Science Foundation funded STEM (Science, Technology, Engineering and Mathematics) Academy. As the second oldest land-grant institution in the state of Arkansas, the mission of this No Excuse University
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Science Foundation funded STEM (Science, Technology, Engineering and Mathematics) Academy. As the second oldest land-grant institution in the state of Arkansas, the mission of this No Excuse University
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Engineering, Chemistry, Physics, Mathematics, or related field from an accredited institution of higher education conferred by the start of employment Knowledge of programming in Python Preferred Qualifications
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universities in the State through the National Science Foundation funded STEM (Science, Technology, Engineering and Mathematics) Academy. As the second oldest land-grant institution in the state of Arkansas