32 security-"https:" "https:" "https:" "https:" "UCL" uni jobs at The University of Memphis
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of the applicant. Detailed information about the department may be found at https://www.memphis.edu/msci/ . The University of Memphis is an Equal Opportunity/Affirmative Action Employer. We urge all qualified
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graduate student mentorship. • Evidence of securing or participating in funded grants or projects. • Demonstrated leadership in graduate teaching, research, and/or student mentorship. • Interdisciplinary
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Security Management, MIS 3210 Critical Thinking using Analytics, MIS7710 Web Analytics, MIS 7720 Business Artificial Intelligence, or BA7603 Business Analytics for Managers, or other courses as needed
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the position is filled. Applications must be electronically submitted at https://workforum.memphis.edu/. Applicants should upload the following: (1) curriculum vitae, (2) statement of teaching philosophy, and
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field. https://www.memphis.edu/lambuth/ https://catalog.memphis.edu/preview_program.php?catoid=33&poid=13900&returnto=1982 https://www.memphis.edu/music/fac-staff/mus_ent.php Posting Date 10/08/2025
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the highest standards of analytical rigor and professional excellence. For more information about the Crews School, visit https://www.memphis.edu/accountancy/ . The College The Fogelman College of Business
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Preparation (CAEP) processes. · Experience securing externally funded projects. · Expertise in the use of technology in instruction. Special Conditions Posting Date 12/13/2024 Closing Date Open Until Screening
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. · Artificial Intelligence, Machine Learning, and Data-Driven Systems – edge AI, embedded intelligence, and neuromorphic computing. · Cybersecurity & Privacy – hardware and IoT security, post-quantum cryptography
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University, College, and Department is available at the University’s official website: http://www.memphis.edu . Applications Applications should include a cover letter, curriculum vitae, unofficial transcript
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sustainable mobility systems Transportation infrastructure resilience and asset management Transportation safety, simulation, and human factors Data-driven and AI-enabled modeling for multimodal systems