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postdoctoral position under the introduction of Kathlén Kohn . The position focuses on research in the intersection of algebraic geometry and deep learning or computer vision. The position is financed by Kathlén
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expertise in areas such as approximate inference, Bayesian statistics, continuous optimization, information geometry, etc. We work on a variety of learning problems, especially those involving supervised
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geometries. However, AM-generated surfaces exhibit significant and highly irregular roughness, a key factor that strongly modifies turbulence, pressure drop, and heat transfer. Unlike conventional machined
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, Norrbotten 971 87, Sweden Subject Areas: Geometric Analysis; Mathematical General Relativity; Differential Geometry Appl Deadline: 2026/01/31 11:59PM (posted 2026/01/12, listed until 2026/01/31) Position
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simulations on the Aurora supercomputer, using AMReX (https://amrex-codes.github.io/amrex/ ) and the lattice Boltzmann method (LBM). The candidate will develop flow/geometry-aware refinement strategies that go
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of the fastest worldwide due to its unique geometry and beam characteristics. It allows ultra-fast in-situ measurements as well as highest spatial and density resolution. Additionally, the highly coherent beam
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disorder or geometry as long as it does not fundamentally change the band structure. Moreover, due to their chirality these edge states are protected against backscattering, making them dissipation-less
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manipulation learning & control, and differential geometry is a plus. Knowledge of safe control methods including Lyapunov stability, barrier functions, and certified learning frameworks. Hands-on experience
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science. [Work content and job description] Analytical and numerical theoretical studies of condensed matter physics, with an emphasis on topological phases, spintronics, and quantum geometry–related physical
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for the future of mobile and satellite communications. Fields of applications range from 5G/6G telecommunications to satellite-based internet connectivity. For details, you may refer to the following: https