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, chemical, biological or computational science, an interest in theoretical modelling and curiosity about engineering complex biological and biochemical systems. The opportunity to study for a PhD at a world
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the complex multiscale nonlinear interactions at the origin of such extreme events. In this project, you will develop machine learning-based reduced-order models which can accurately forecast
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computing (e.g. Python, C/C++, Fortran, MATLAB). Ability to analyse and interpret complex datasets, with good scientific judgement and attention to detail. A motivated, collaborative researcher with strong
Searches related to computational complexity
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