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overall or higher or equivalent. Have an experience with analytical and numerical solution methods for partial differential equations and working knowledge of Matlab and Latex. A full list of selection
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, partial differential equations and scientific computing, to name a few. There are competing LC theories e.g., molecular-level models with molecular-level information, mean-field models that average
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considerably heavy in terms of computational resources and complexities. The common techniques for reducing computational resources include, for example, solving ordinary differential equations (ODEs) in
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use Systems Biology methods to formulate a set of ordinary differential equations describing how genes regulate each other across the different organelles. Another approach is to use Monte Carlo
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model due to the mathematical challenge of solving the multiple partial differential equations simultaneously. With the support of the combined sponsorship from the university and industrial partner
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techniques that are useful for the modelling of many real-life systems. These include the development and analysis of stochastic models, computer simulations, differential equations, statistical inference
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given to computationally intensive components, including ordinary and stochastic differential equations, and non-parametric components like Gaussian Processes. The project builds on the following key
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interests, the project can take several directions. One option is to use Systems Biology methods to formulate a set of ordinary differential equations describing how genes regulate each other across
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systems of differential equations. The resulting models will be analysed with analytical tools from applied mathematics and numerical studies in the Julia programming language. The successful candidate
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, or equivalent) Strong academic track record, with exceptional grades in advanced mathematics, theoretical physics, or computer science courses. Strong understanding of linear algebra, calculus, differential