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, linear algebra, and statistical modelling Demonstrated proficiency in programming (e.g., Python, PyTorch/JAX, or similar) Strong interest in method development Fluent oral and written communication skills
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related algebraic and analytic structures for the analysis and modelling of complex sequential data. Path signatures, originating in stochastic integration and rough path theory, provide expressive
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, linear algebra, and statistical modelling Demonstrated proficiency in programming (e.g., Python, PyTorch/JAX, or similar) Strong interest in method development Fluent oral and written communication skills
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The Master project should treat methodological aspects with mathematical tools. The candidate must show a strong interest in method development. Proven competence in probability, linear algebra, and
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. The candidate must show a strong interest in method development. Proven competence in probability, linear algebra, and statistical modelling are essential for this position. Demonstrated strong proficiency in
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members and more than 55 doctoral students and postdoctoral fellows. The Department conducts research at an international high level within the disciplines of algebra, analysis, didactics of mathematics