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Field
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Computational electromagnetics; Integral equations; Numerical algorithms; Fast multipole method; Field solvers; Eligibility citizenship Open to U.S. citizens level Open to Postdoctoral applicants Stipend Base
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foundations, focusing on the structure and complexity of quantum computational models; (ii) optimization and related graph-theoretic methods, using polyhedral geometry and algorithmic optimization (e.g., vertex
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postdoctoral position is available in the Geometric Machine Learning Group at Harvard University, led by Prof. Melanie Weber. This role offers an opportunity to perform research at the intersection of Geometry
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regimes, and accurate geometry- and biochemistry-based trajectory analyses. However, detailed molecular dynamics simulations are often too time-consuming to become the basis of computational measurements
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to Fisher-Rao geometry and develop theoretical results characterising MML estimation under various regularity conditions. Aim 2: Development of Computational Methods for MML Design and implement efficient
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experience, with expertise in at least one of the areas: graph polynomials and partition functions, computational counting algorithms and complexity, combinatorics, models in statistical physics. About the
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experiments and quantum algorithms for computational geometry problems. Prior expertise in these areas is highly encouraged. The selected candidate will work on cutting edge technologies in an excellent
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Mike Hochman Dynamical systems, ergodic theory and fractal geometry Gil Kalai Combinatorics Itay Kaplan Logic, model theory David Kazhdan Representation theory Ori Gurel-Gurevich Probability
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) Academic Disciplines: Pure mathematics: algebraic geometry, differential geometry, partial differential equations, number theory, probability. Theory of Computing: all areas of theoretical computer
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-transparent materials, and the utilisation of deep learning algorithms to accelerate computational solutions. Scientific Objectives Develop a self-contained finite volume solver for solidification of multiphase