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executed, ideally involving 3D image analysis, inverse problems, or physics-informed modeling. Cryo-EM/ET and computational structural biology projects are especially relevant. Discuss results
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geometry, number theory, data. * Qin Li: Scientific computing, machine learning, inverse problems. * Hanbaek Lyu: Combinatorics, probability, optimization, and machine learning. * Laurentiu Maxim
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, inverse problems, linear and multilinear algebra, mathematical analysis, meshing, modeling & simulation, multilevel/multiphysics/multiscale methods, numerical analysis, operations research
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Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
(e.g., DeepONet, Fourier Neural Operators) Knowledge of uncertainty quantification, inverse problems, Bayesian inference, or parameter identification In addition you have: A high degree of initiative and
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other x-ray or neutron scattering experiments. Programming, for example use of Python and GitHub. Data analysis, inverse problems and statistical analysis. Mathematical understanding, knowledge of