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using statistical software (e.g., R, Python, SAS, or STATA) Experience in analyzing the data applying machine learning techniques Experience in various other analysis methods (e.g., multivariate
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Engineering or Electrical Engineering) by the time of appointment. Preferred Requirements A background in artificial intelligence, machine learning, cybersecurity, data mining, data analytics, bioinformatics
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directed by the department. Required Education & Experience: Earned Doctorate (PhD/DSW) in Social Work preferred. A PhD in a closely related discipline may be considered. Must have an MSW from a CSWE
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through research and discovery, teaching and learning, community engagement and public service, and with an intentional focus on student success and research excellence. For more information, please visit