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, Lausanne 1015, Switzerland [map ] Subject Areas: • stochastic differential equations (SDEs); stochastic partial differential equations (SPDEs); stochastic processes on manifolds; multi-scale stochastic
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Do you want to contribute to groundbreaking research in the development of a theoretical framework and numerical algorithms for evolving stochastic manifolds? This is an exciting opportunity for a
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 2 months ago
Generative Modeling through Stochastic Differential Equations.” ICLR. [4] Pidstrigach, Jakiw. 2022. “Score-Based Generative Models Detect Manifolds.” NeurIPS. [5] Dupuis, Benjamin, Dario Shariatian, Maxime
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
include (but are not limited to): * Clustering and unsupervised learning * Dimension reduction and manifold learning * High-dimensional inference and feature selection * Generative modeling and digital
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, Beijing 100190, China [map ] Appl Deadline: none (posted 2022/04/11) Position Description: Apply Position Description Hua Loo-Keng Center for Mathematical Sciences (HCMS, http://hcms.amss.ac.cn ), Academy
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 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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development for image recognition. Transformation of tomographic voxel representations into triangulated surfaces (2-manifold triangular meshes). Collaboration with experimentalists to ensure real world impact
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Developing models to represent structure in networks using low dimensional manifolds Modeling demographic and health trends in low-resource settings Developing a decision-making framework for policy decisions