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Doctoral Researcher in statistical signal processing. The Structured and Stochastic Modeling Group, headed by Prof. Filip Elvander, conducts research in statistical signal processing, ranging from
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algebras, tensor categories, lattice models of statistical physics, conformally invariant random processes, formalization of mathematics (preferably in Lean). The working language of the group is English
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paleoecology of Old World Cenozoic mammals. Experience in statistical analysis, programming, spatial modeling, and database management Knowledge of mammalian skeletal and osteological morphology. Strong
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supervision (up to 5% annually) and other research activities of the Institute. QUALIFICATIONS The appointees to the positions must hold a doctoral degree in demography, public health/epidemiology, statistical
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/statistics/computer science needed in machine learning. Previous experience in the application fields is an advantage. Capability of both independent work and teamwork, and excellent written and spoken English