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the PhD program (https://www.utrgv.edu/cla/academic-programs/clinical-pyschology-phd-program/index.htm) mentor graduate students in the PhD program in clinical psychology, and serve as a clinical supervisor
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or a strong aptitude for using advanced computational tools, AI, or machine learning techniques to address engineering challenges; and interest or initial experience in interdisciplinary collaboration
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journals or conferences; experience with or a strong aptitude for using advanced computational tools, AI, or machine learning techniques to address engineering challenges; and interest or initial experience
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research spanning theoretical foundations, bioinformatics, machine learning, robotics, data mining, and applications of Computer Science. Together, the programs prepare students for graduate study in
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the participation of all health-related programs and create a stronger framework for collaboration and impact among health-related programs. The goal is for the division to boost interdisciplinary learning, enhance
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at the undergraduate and/or graduate level. Preferred Qualifications: PhD or DBA in Management or related field Three years of college teaching experience Ability to teach online or use technology to support teaching
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Qualifications The qualifications to be considered as a non-tenure track, part-time Lecturer is an earned doctoral degree of an academic (non-clinical) doctorate degree (e.g., PhD, Ed.D.) or post professional
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quality educational programs, meaningful experiential learning opportunities and the development of scientific and intellectual inquiry for the promotion of health equity in the Rio Grande Valley and beyond
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funding. Teach undergraduate and/or graduate courses effectively. Participate in departmental and university service. Scholarship: Initial publications in peer-reviewed journals. Engagement in professional
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Texas, one of the nation’s most rapidly developing regions, and collaborate with strong industry and government partners to design applied learning ecosystems that reflect real-world practice