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Hamiltonian description of the gravitational interaction and to analyze the geometric properties of Einstein's equations for general relativity on non-globally hyperbolic manifolds. The activity focuses
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Research Engineer III - Fluidics, Systems Integration & Instrumentation Med-Medicine - Pennsylvania-Pittsburgh - (26006461) The Benam Lab (https://www.benamlab.net/) at the University of Pittsburgh
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) 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 of wealth
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
, geometric analysis, etc. During the first year, the position will be funded in part through the National Science Foundation Research Training Group (RTG) award: ‘Partial Differential Equations on Manifolds
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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 society
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available at https://www.maths.gla.ac.uk/~rboyd/ . Applicants are therefore expected to have research experience in algebraic topology or low dimensional topology. Expertise in manifolds, knot theory, operads
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, 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 is designed
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of an Anosov representation. For instance, the boundary at infinity of a hyperbolic group naturally embeds as a subset of a flag manifold for an Anosov representation. The AnSur project aims to study the global
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
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 trajectory for future
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methods for differential equations and scientific machine learning; geometric deep learning, manifold learning, equivariant methods, high-dimensional geometry, and structure-aware learning; and the