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13 May 2024 Job Information Organisation/Company Swansea University Department Central Research Field Mathematics » Other Researcher Profile First Stage Researcher (R1) Country United Kingdom
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PhD Studentship: Data-driven Probabilistic Modelling of Clonal Dynamics in Human Tissues and Cancers
. Recently, scientists have employed mathematical modelling in combination with probabilistic inference to elucidate the dynamics of clonal evolution over the course of a human lifetime. Such work has revealed
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, chemical and biotech industries. If you have a strong background in computational chemistry, physics, mathematics or a related area, then this is the project for you! With access to large collections
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to obtain, an MSc degree in Economics, Psychology, Mathematics, or a related field, but candidates with other quantitative backgrounds could be considered. The PhD project will require the post-holder to work
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and provides a stipend at the UKRI rate (£19,237 for 2024/25). The start date is 1st October 2024. This is an interdisciplinary project between the Department of Mathematics (Christiana Charalambous
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alternative and also quite promising in this context.] Interested candidates should have a strong interest/background in either Formal Methods/Mathematically derived techniques, or in Software Engineering
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that can help engineers understand electromagnetic compatibility issues in railway 25kV AC overhead lines. This will include developing models, mathematical techniques and software tools that can predict how
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. This will include developing models, mathematical techniques and software tools that can predict how the power distribution lines, on-train power converters and trackside systems interact, and then to use
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materials, has led to significant theoretical advances on the mathematical description of fabric anisotropy for monotonic loading. However, the quantification of fabric anisotropy during cyclic loading is
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degree deemed equivalent to UK honours (by UK ECCTIS) and achieved a grade equivalent to UK Upper Second Class honours in Computer Science, Mathematics or a closely related discipline, OR an appropriate