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Université de Technologie de Belfort-Montbéliard | Belfort, Franche Comte | France | about 13 hours ago
for simulating such complex geometries. For example, the memory and computation time required become prohibitive with standard “black-box” finite element methods. The objective is therefore to develop a dedicated
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Theory Algebraic Geometry Arithmetic Geometry Derived Categories Langlands Program Geometric Representation Theory In addition, relevant teaching experience is expected, and the successful candidate will
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this analysis is to try and predict whether two minima have a direct connection, and the next step would be to predict the corresponding transition state geometry. These capabilities are necessary to make
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of the domain, while the pre-processing step of geometry manipulation and mesh generation is one of the most important efficiency bottlenecks in such methods. The challenge is more prominent in modern, real-world
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, they do not reach their full potential. Recently, through the use of Riemannian geometry, we proposed a nonparametric framework for change-point detection in manifold-valued data streams [1]. We applied
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modeling and PDE) and our project would benefit greatly from the contribution in emerging fields — in their application to neuroscience —such as topology and geometry, or from an expertise in dynamical
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find a unified representation for the two modalities that allow an effective fusion. A large body of work simply projects LiDAR points to images using projective geometry (e.g.,[5, 6]) and uses the image