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geometries. Two approaches may be considered, considering re-entrant circuit as periodic solutions of the monodomain equations, or as minimal geodesic loops in a Riemannian manifold. Approach 1: Search
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semiclassical analysis of geometric quantization. The goal is to describe the joint spectrum of certain pairs of operators acting on spaces of holomorphic sections of large tensor powers of some complex line
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, Beijing 100190, China [map ] Appl Deadline: none (posted 2022/04/11 05:00 AM UnitedKingdomTime) Position Description: Apply Position Description Hua Loo-Keng Center for Mathematical Sciences (HCMS, https
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, simplicial complexes, manifold theory, fiber bundles, curvature). Familiarity with topological data analysis—persistent homology, filtrations, stability theorems—is particularly valued. Extensive experience
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Information Department GSO Research Contact(s) Please note: Job applications must be submitted directly online only at: (https://jobs.uri.edu ) Contact Phone/Extension Contact Email Physical Demands Campus
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and migrations of ancient humans in Eurasia; Other ongoing projects in the Laboratory of archaeogenetics, such as testing and improvement of analytical methods such as PCA and manifold learning
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across subsets of neurons to low-dimensional manifolds of high-dimensional space of population neuronal firing rates. Thus neuronal experimental data are to be analyzed for both aspects by PCA analysis and
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Your Job: This PhD project aims at relating precisely timed spike constellations across subsets of neurons to low-dimensional manifolds of high-dimensional space of population neuronal firing rates
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the Manchester BHF CRE: Geometric Deep Learning for Complex Manifolds: Novel deep learning theories, models and architectures to simulate interactions within non-Euclidean, patient-specific cardiovascular
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models. Geometric Deep Learning for Structural Synthesis: Leveraging Graph Neural Networks (GNNs) and manifold learning to optimise complex geometries in medical device design and advanced manufacturing