60 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at University of Texas at El Paso
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terms of research, and our faculty have won many of the most prestigious awards in their fields, including fellowships from the National Endowment for the Humanities, the American Council of Learned
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common, with students working together in shared research groups that promote interdisciplinary learning. Requirements: A Ph.D. in Chemistry or a closely related field A record of recognized research
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are seeking innovative and highly collaborative scientists with a strong background in Drosophila genetics and behaviors. Applicants with expertise in learning, memory, behavioral control and plasticity, and
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decisions are based on budget approval. In keeping with its access, excellence, and impact mission, The University of Texas at El Paso is committed to an open, diverse, and inclusive learning and working
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keeping with its access, excellence, and impact mission, The University of Texas at El Paso is committed to an open, diverse, and inclusive learning and working environment that honors the talents, respects
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21st-century vision that promotes excellent higher education while positively impacting the health, culture, education, and economy of the region and the distance learning communities it serves
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coordination, and study abroad leadership. This is a non-tenure-track position, renewable based on performance, budget, and need. The successful candidate will teach three Spanish courses per semester
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include but not limited to: Teach undergraduate and graduate applied oboe Teach additional music courses based upon secondary area(s) of expertise and needs of the Department of Music Serve as lead
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of Texas at El Paso is committed to an open, diverse, and inclusive learning and working environment that honors the talents, respects the differences, and nurtures the growth and development of all. We seek
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, unsupervised, and deep learning. Proficiency in appropriate model selection; simpler or complex models, depending on the data. Ability to work effectively within diverse, multidisciplinary teams of faculty