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Theory for Manifold Data and Bayesian Smeariness of Location Statistics”. The project will explore the effects of non-Euclidean geometry on Bayesian inference from a frequentist Bayesian perspective
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an interplay between approaches in statistics, geometry and optimization. We offer an interdisciplinary qualification program that equips our graduate students with a broad set of skills for analyzing data and
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and ideally have very good knowledge in statistical physics, and, as a plus, knowledge in electrodynamics, non-equilibrium physics, quantum field theory, condensed matter theory or numerical methods
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-Markovian baths. You have completed your scientific university studies with a master’s degree in the field of physics, with above-average grades and ideally have very good knowledge in statistical physics
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or equivalent. initial experience with finite element modeling, time series analysis, Bayesian statistics interest in methodological development work, careful independent supervision of experiments The University