182 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at University of Texas Rio Grande Valley
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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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of under-represented groups; will demonstrate through their research, teaching, and/or public engagement the richness of diversity in the learning experience; will integrate multicultural experiences
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or revising curriculum: ASL, and interpreting. Experience with visual pedagogy and designing inclusive, accessible learning environments for diverse learners. Familiarity with online or hybrid ASL instruction
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an accredited university. Applicants must have at least 2 years teaching experience, which enables them to teach combinations of molecular/cell biology, biochemistry, neuroscience, cell and molecular biology
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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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developmental and introductory courses in mathematics and statistics to more than 10,000 students each semester across hundreds of course sections. Please visit the SMSS webpage at www.utrgv.edu/math to learn
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developmental and introductory courses in mathematics and statistics to more than 10,000 students each semester across hundreds of course sections. Please visit the SMSS webpage at www.utrgv.edu/math to learn
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. The Department of Literatures and Cultural Studies at The University of Texas Rio Grande Valley (UTRGV) occasionally has the need to hire Part-Time Lecturers to teach in the University Core and in the English BA
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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