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on stochastic Riemannian optimization algorithms, these methods still suffer from limitations in computational complexity. The post-doctoral fellow will build upon this preliminary work to investigate
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revisit discretization methodologies in view of modern requirements and computational capabilities. The candidate will focus on developing mesh generation algorithms meeting the following criteria
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major challenge with dynamic structured data is finding representations that can effectively handle their underlying geometry, which is often defined by application-specific pseudo-distances. A common
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Mathematics, Control Theory, Dynamical Systems, Partial Differential Equations, Algebraic Geometry, Quantum Algorithms, and Information Theory Application Fields: Biological Systems, Agriculture, Epidemiology
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) Earth Watch Programme Element in collaboration with EOP-S and other directorates as appropriate. You will initiate and manage the resulting activities for derisking and implementation when involving
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focus on a current research area in algebra and meaningfully complement the existing research, for example, in the fields of representation theory, algorithmic algebra, tropical geometry, or algebraic
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research at the interface between geometry, mechanics, materials science, computation, and control theory. PhD positions Applicants for PhD positions are expected to have a strong background in mathematics
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in complex geometries or constrained spaces relevant to in-vessel fusion applications. To support this work, the candidate will develop rigs and carry out experimental investigations into the emissive
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of Mathematics at Cornell. Members of the lab engage in interdisciplinary research, drawing on approaches from geometry, topology, graphs and networks, probability/statistics, and algorithm design, in conversation
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KTP Associate in Machine Learning ( Job Number: 25000811) Department of Computer Science Grade 7: - £39,105 - £43,878 per annum Fixed Term - Full Time Contract Duration: 30 months Contracted Hours