The Mathcoda Doctoral Training Unit is a doctoral program covering a coherent set of themes around the ideation and study of novel mathematical tools for dealing with high-dimensional and complex data structures, with applications ranging from life sciences to engineering and finance. The main rationale behind our project is the necessity of training a new generation of researchers, possessing a full mastery of the mathematical tools that are needed for modelling and statistically analysing data structures displaying non-standard features, such as high-dimensional components, complicated topological structures, or long-range dependence
Requirements:
Master's Degree (or equivalent) in mathematics or related disciplines. (The degree must be obtained before the beginning of the contract but you can apply before); Good command of written and spoken English; Strong dedication to doing mathematics at a research level
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Doctoral candidates in Statistics and Probability The Mathcoda Doctoral Training Unit is a doctoral program covering a coherent set of themes around the ideation and study of novel mathematical tools for dealing with high-dimensional and complex data structures, with applications ranging from life sciences to engineering and finance. The main rationale behind our project is the necessity of training a new generation of researchers, possessing a full mastery of the mathematical tools that are needed for modelling and statistically analysing data structures displaying non-standard features, such as high-dimensional components, complicated topological structures, or long-range dependence Master's Degree (or equivalent) in mathematics or related disciplines. (The degree must be obtained before the beginning of the contract but you can apply before); Good command of written and spoken English; Strong dedication to doing mathematics at a research level
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