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simulations, large-scale structure evolution, weak gravitational shear, differentiable modelling, Bayesian inference or gradient-based inference methods. Experience with automatic differentiation
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, SKA, or Bayesian inference would be an asset, but is not required. Applications from candidates with backgrounds in signal processing, statistics, AI, or astrophysical data analysis are encouraged
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Neural Networks. The group combines expertise in stochastic modeling, Bayesian inference, data fusion and modern machine learning. Its research activities span various application domains such as
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