179 machine-learning "https:" "https:" "https:" "https:" "https:" positions 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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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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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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and publications in human genetics. The successful candidate will conduct research in bioinformatics and computational genomics, teach at the doctoral level, and mentor graduate students in the Ph.D
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epidemiology. The successful candidate will conduct statistical genetics research, teach at the doctoral level, and mentor graduate students in the Ph.D. Program in Human Genetics. The successful candidate is
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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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) in Creative Writing program, the successful candidate will teach two undergraduate screenwriting courses for theatre and film students each semester. Responsibilities include delivering quality
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resources and watershed issues, locally and beyond, is expected. We expect the successful candidate to acquire external funding from organizations like the NSF, NOAA, and other environmental agencies while