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neural networks already? The reason is geometry. The main advances in neural networks are built on the same geometric foundation, namely Euclidean geometry. This choice however leads to fundamental
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, and how cause and effect is described. This is what you will do If hierarchies are so important, why are they not central in neural networks already? The reason is geometry. The main advances in neural
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Geometry of Logarithmic Curves, under the supervision of David Holmes. What you will do Applications are invited for a 4-year PhD position at the Mathematical Institute of the University of Leiden, as part
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We’re seeking for motivated candidates that are interested in developing computer models of the composite human neuro-muscular system that combine detailed musculoskeletal geometries, muscle-tendon
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. The overarching aim of this project is to interpret the topological physics encoded by possibly non-Hermitian and non-gapped Hamiltonians within the mathematical framework of noncommutative geometry. The proposed
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seeking for motivated candidates that are interested in developing computer models of the composite human neuro-muscular system that combine detailed musculoskeletal geometries, muscle-tendon models and
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, the scattering geometry can be reconstructed mathematically (this is called inverse scattering). This requires both sophisticated mathematical models and efficiently implemented algorithms. In the case of wafer
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adoption. Tiny internal defects, process variability, and complex geometries can make quality assurance slow, expensive, or even impossible with traditional inspection methods. This PhD project, part of a
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to shortest diffusion lengths), precision pore geometry/size (resulting in high size-selectivity, even for hydrogen isotopes), and high functionality (fostering chemical/charge selectivity and ionic gating
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geometry can be reconstructed mathematically (this is called inverse scattering). This requires both sophisticated mathematical models and efficiently implemented algorithms. In the case of wafer metrology