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Field
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) Project description: The aim of this PhD project is to investigate whether match key performance indicators (KPIs) are effective at predicting match outcome at the elite rugby union level in the URC
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A 4 year PhD studentship in mathematics, funded by the Royal Society. Type of award: Postgraduate Research PhD project: Eigenvalues of large random matrices and statistics of characteristic
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, integrated, embodied systems, you will co-create, validate, and disseminate a statistical Index of Community Assets (IoCA) to capture aspects of community and belonging in neighbourhoods that are not well
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violent outcomes such as domestic and sexual violence. Your responsibilities will include coordinating and managing the project, overseeing the research database, conducting statistical analyses
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be about to obtain) in areas relevant to this post (e.g. computer science, engineering, statistics, and mathematics etc.) Any applicants who are still awaiting their PhD to be awarded should be aware
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Cambridge and international institutions. The preferred candidate will have a PhD (or equivalent) in Statistics, Computer Science, or other related quantitative subject. Selection criteria includes
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, with a relevant PhD is desirable: Interacting particle systems for Monte Carlo methods and rare event simulation Statistical physics for transport modelling Branching structures and or stochastic
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working week, providing a balanced work environment. We’re looking for an individual that has (or is soon to receive) a PhD in a statistical subject (equivalently, for candidates without a PhD, a period of
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regression analyses is important. It is essential that you have an MSc (Research Assistant) / PhD (Research Associate) in epidemiology, statistics, health economics or related quantitative field or a closely
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collaborative, interdisciplinary setting. You must hold (or be about to receive) a PhD in Statistics, Data Science, Computer Science, or a related discipline. Substantial experience applying machine learning