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PhD studentship in the Groups “Numerical Analysis and Scientific Computing” and “Mathematics Applied to Biology” at the University of Sussex (UK). PhD project Statistical inference has proved to be
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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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One PhD studentship is available in the area of machine learning theory (statistical learning theory and deep learning theory) or theoretical-oriented topics, e.g., trustworthy machine learning
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description above and upload it as a PDF in the application. Qualifications and specific competences Applicants for the PhD position should (expect to) have an MSc degree in a computational statistical field
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-visible-spectrum reflectance). This project brings together statistical modelling of the data-generating process with machine learning, including deep learning, techniques, to model and predict bumblebee
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to meet the minimum entry requirements for our Veterinary Medicine and Science PhD programme. This is basic research with a strong molecular and bioinformatic focus project and undergraduates with a degree
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This is a full-time, funded PhD opportunity in the Faculty of Science and Engineering. It is open to both Home and Overseas students. Please note that only Home fees will be covered - eligible
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of online teaching. With a PhD, or equivalent experience, in Statistics or Computing, or a closely related discipline such as Mathematics, you will have a demonstrable ability to teach Statistics or Data
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Supervisory Team: Paul Kemp, Andrew Vowles PhD Supervisor: Paul Kemp Project description: Beavers are ecosystem engineers capable of modifying rivers to benefit biodiversity and humans, e.g. through
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This is a full-time, funded PhD opportunity, open to home and overseas students. Only home fees will be covered - eligible overseas students will need to make up the difference in tuition fee