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coursework in multivariable calculus, matrix algebra, probability, and statistics (required) Previous experience estimating econometric models (strongly preferred) Interest in applying to a quantitative PhD
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coursework in multivariable calculus, matrix algebra, probability, and statistics (required) Previous experience estimating econometric models (strongly preferred) Interest in applying to a quantitative PhD
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coursework in multivariable calculus, matrix algebra, probability, and statistics (required) Previous experience estimating econometric models (strongly preferred) Interest in applying to a quantitative PhD
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, flavour physics, effective field theories, theories beyond the standard model and computer algebra. More details on current research activities can be found on our homepage: https://www.physik.uzh.ch/en
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systems, but the field is broad and is related to many other areas of mathematics, including measure theory, number theory and algebraic and complex geometry. As a PhD student in this project, you will
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candidates hold a Master’s degree in Informatics, Mathematics, or a related field, and possess strong expertise in linear algebra, GPU architectures, and programming in C++ and Python. This is a 100% TVL E13
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& Uncertainty Quantification Numerical Simulation & Multiscale Methods Numerical Linear and Multilinear Algebra High-Performance Computing Control and Optimization Computational Science & Engineering Applications
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of interest are harmonic analysis, operator theory, computer algebra, optimisation and complex analysis. Other key research themes at the department are mathematical statistics, applied mathematics, computer
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educational programs in Computer Science, we are now seeking 1-2 PhD Students with a focus on Cryptography and Cybersecurity. The Department of Computing Science at Umeå University is an international
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often rely on restrictive assumptions or application-specific computational workflows. The PhD project aims to address these limitations by developing a unified, scalable, and interpretable framework