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fundamental problems arising in mathematical fluid dynamics and turbulence, including regularity properties of solutions to the Navier-Stokes, Euler, and related equations, dissipation anomaly, Onsager’s
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. Possible research topics include: Scientific machine learning Numerical partial differential equations (PDEs) Computational fluid dynamics Neural operators High-performance computing Data-driven
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) quantum simulation of complex many-body systems, and (iii) open quantum systems. This list is not intended to be exhaustive and candidates with other research interests are also welcome. Hired postdoctoral
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complexity theory to understand and enhance modern AI. Successful candidates will work closely with leading Principal Investigators and collaborators within BAQIS and its extensive network on cutting-edge
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interested in candidates working in the following research areas: -- arithmetic algebraic geometry and the BSD conjecture, -- Langlands program and related problems, -- algebraic geometry and complex geometry