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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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. The student will benefit from Exeter’s expertise in Statistics, Data Science, and Machine Learning, and be part of a vibrant community of bright PhD students working on environmental problems. The student will
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This 3.5 year PhD project is funded by the MADSIM Project, https://www.madsim.manchester.ac.uk/ . Funding is for Home students and EU students with settled status. Funding covers home tuition fees
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Paragraph We are seeking an enthusiastic and conscientious applicant for this fully-funded PhD scholarship (UK tuition fees, stipend and experimental costs) starting on 30 September 2024, which will include
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PhD Studentship: How Does Spatial Organisation Impact Host-microbiome Interactions in Human Airways?
on intensities of relevant stains. Second, they will write a Python code to pool the collected multimodal data and conduct statistical tests (e.g. PCA) to generate integrative insights into how size shapes host
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the observable climate (𝑋) that varies significantly across the model ensemble, and which exhibits a statistically significant relationship, 𝑓, with variations in some important variable (𝑌) describing
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learning called Machine Listening. The PhD project brings together world-leading audio experts to develop state-of-the-art techniques as a widely-applicable embedding of acoustic environments. Based in
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Applications are invited for two PhD positions in “Probabilistic Artificial Intelligence” at the Department of Statistics, University of Warwick. The successful applicants will be part of the ProbAI
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, and attentional lapses, alongside extreme weather. Additionally, according to statistics from a manufacturing company, 40% of wind turbine errors are due to human error. Working long hours in harsh
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on circumstances) set at the UKRI rate as a minimum (£19,237 for 2024/25). A fully funded PhD position in multiscale modelling of polymer composites is available in the group of Professor Carbone at the University