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these representations can be combined with concepts from physics‑inspired machine learning, drawing on statistical physics, dynamical systems, and stochastic processes, to design robust, interpretable, and mathematically
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motivation for the position you have experience in artificial intelligence, data analytics, uncertainty analysis, probabilistic modelling, or statistical learning you have experience working on relevant
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Engineering. You must have a strong mathematical background and a research-oriented Master’s thesis in a relevant field (e.g., signal processing, statistical machine learning, wireless communications, applied
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develops specialized knowledge, applying mixed methodology, combining qualitative and quantitative methods, from action research and case studies to statistical analysis and operations research. Focus is put