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; University of Sussex | The City of Brighton and Hove, England | United Kingdom | about 15 hours ago
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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PhD students and post-docs, led by secondary supervisor Joseph Standing, at UCL’s Great Ormond Street Institute for Child Health and with computer sciences specialists at UCL. The student will also
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Campus. We invite studentship applications from enthusiastic individuals who are strongly motivated to help push the boundaries of inter-/multidisciplinary research and technology in human-computer
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. The Prob_AI hub will focus on probabilistic AI, and bring researchers with skills across areas such as Bayesian and Computational Statistics, Dynamical Systems, Numerical Analysis, PDES, Probability, Stochastic
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(engineering programme) clearly stating the title of the project and the name of the supervisor (Dr. Miguel Navarro-Cía). Funding notes: Applications are sought from highly motivated students graduating with
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, the candidate should have at least a strong upper second-class (2.1) degree in Chemical Engineering/Computer Science/Maths. Applications comprising a detailed CV, cover letter, the names and addresses of two
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WIRe CDT PhD in Environmental Engineering: Developing an easy-to-use device for rapid onsite detection of sewage in water Award Summary Fully funded studentship with a tax-free annual living
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Master’s degree (preferably with a merit or distinction) in a social, biological or mathematical subject, or computer science. UKRI Minimum Stipend Research Training & Support Grant Institutional & CDT
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-term position for 3 months. Background The core of our project is inspired by recent advancements in computational and atmospheric sciences to enhance traditional forecasting models with innovative
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PhD Studentship in: Impacts of Blending Drinking Water from Desalination into Existing Distribution Systems Department of Civil and Structural Engineering PhD Research Project Directly Funded