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(SMU) invites applications for part-time instructors with a track record in excellent teaching at the tertiary level to teach Big Questions: Wealth and Poverty . The course explores the manifold forms
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enhance the role that sound—in its manifold manifestations, whether musical, environmental, or performative—has played and continues to play in shaping cultures, territories, and communities. In a
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University of North Carolina at Chapel Hill | North Wilkesboro, North Carolina | United States | about 21 hours ago
sound engineers engaged in manifold creative practices in a liberal arts context. We seek a creative, collaborative, and intellectually curious colleague with a record of accomplishment and a clear
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quantification, and rigorous methods for differential equations and scientific machine learning; geometric deep learning, manifold learning, equivariant methods, high-dimensional geometry, and
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a College of Nursing at a research-intensive, federally designated Hispanic-serving institution situated on indigenous lands, we benefit both from the manifold opportunities and from the
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institution situated on indigenous lands, we benefit both from the manifold opportunities and from the responsibilities we carry. Consistent with our mission, vision, and values, we strive to
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lands, we benefit both from the manifold opportunities and from the responsibilities we carry. Consistent with our mission, vision, and values, we strive to openly support and deeply respect our
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artistic heritage, and its manifold connections with other cultures. Scholars may work on any type of academic writing, including a research article, book manuscript, chapter, or essay. The residency
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quantification, and rigorous methods for differential equations and scientific machine learning; geometric deep learning, manifold learning, equivariant methods, high-dimensional geometry, and structure
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Mathjobs.org | about 1 month ago
learning, inverse problems, uncertainty quantification, and rigorous methods for differential equations and scientific machine learning; geometric deep learning, manifold learning, equivariant methods