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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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issue in society, from AI regulation and AI safety to protecting democracy from election interference. This exciting PhD project investigates two technical aspects of voice deepfakes: What is it about a
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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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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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of handling laboratory animals is required as this will be optional. Good IT skills with Word, PowerPoint and Excel are essential and some knowledge of statistics is desirable. How to apply Interested
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Research theme: Fusion Energy This 4 year PhD covers tuition fees and a tax free stipend set at the UKRI rate (£19,237 for 2024/25). Home students and students with settled status are eligible
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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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In the early development of new active pharmaceutical ingredients (APIs), pharmaceutical scientists often have access to only small amounts of material for testing. Even as we move through the development and commercialisation process, the reduction in the amount of API used for experimental...
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Research theme: Digital Engineering for Fusion Energy This 4 year PhD is fully funded for home students and students with settled status. Tuition fees will be paid and you will receive a tax free
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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