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will consider techniques like flow matching, and use ideas from optimal transport and neural (stochastic) differential equations, invariant Kalman filtering and geometric numerical integration
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and economic development. The role requires strong foundations in mathematics and computer science, including statistical learning, optimization, simulation, and algorithmic reasoning. The successful
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professor position in Mathematics to begin in January or August 2027. Applicants with a Ph.D. in Mathematics or Applied Mathematics with a specialty in numerical analysis, optimization, or operations research
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of Machine Learning. You will connect to scientists and investigate possible applications of ML in fields like Chemistry, Numerics, Computational Biology, Astrophysics, Particle Physics etc. You will be
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or more of the following topics: numerical methods for (partial) differential equations. optimization or inverse problems. data assimilation or uncertainty quantification. agentic and generative AI. solid
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Trondheim. The Department of Mathematical Sciences, NTNU, will host the PhD position. The topic of the PhD fellowship is at the interface of numerical mathematics, generative AI models, and computer
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Mathematics to begin in August 2026. Applicants with a Ph.D. in Mathematics with a specialty in numerical analysis and scientific computing, optimization, and operations research or algebra or topology will be
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, -- partial differential equations and in particular Navier-Stokes equations, -- stochastic analysis, -- mathematical theory for artificial intelligence, -- optimization and numerical computation over manifold
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
synthetic methods and routes to the target scaffolds and their application to construct optimized analogues. Research is conducted within the highly collaborative environment of the UNC Center for Integrative
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optimal conditions for their successful doctoral degree and beyond. Doctoral researchers at GS SimTech: Have at least two supervisors from different subject areas Benefit from a second, external reviewer