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AI-driven Geographic Data Integration Department of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Jefersson A. dos Santos Application Deadline: 30 June 2024 Details We
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strongly quantitative discipline, but applications from candidates close to submitting their PhD are also welcome. Research experience in Bayesian statistics is essential as is experience in statistical
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candidate will have a PhD in a strongly quantitative discipline, but applications from candidates close to submitting their PhD are also welcome. Familiarity with deep learning methodologies is essential, as
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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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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
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; The Medicines And Healthcare Products Regulatory Agency | Canary Wharf, England | United Kingdom | about 1 month ago
of medical statistics/epidemiology through work experience or through a PhD
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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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Mathematics and Statistics including modules in Data Science, Statistics or Programming. Additionally, the candidate will lead on the supervision of several Masters dissertations in these areas. About You The
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of the Centre’s work. COMPASS is an EPSRC-funded Centre for Doctoral Training in Computational Statistics and Data Science, offering students a 4-year PhD training programme in the statistical and computational
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-analysis on mammalian play using phylogenetically informed statistical models to test evolutionary theories about the importance of play behaviour. You will have a PhD (awarded or imminent) in a relevant