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learning and digital education? We are looking for a highly motivated individual who has an interest in Statistics and Data Science, to join the Department of Statistics within the School of Mathematics and
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with MEng / MSc degree in Engineering, Mathematics, Physics or Computer Science. The scholarship is primarily open to UK nationals; EU, Commonwealth or USA nationals may also be considered. Supervisor
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education? We are looking for a highly motivated individual who has an interest in Statistics and Data Science, to join the Department of Statistics within the School of Mathematics and/or the Leeds Institute
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addition to funding for tuition fees and research training. We are looking for applicants with a degree in Computer Science, Mathematics, Physics, or Electrical Engineering. Prior experience in tomographic imaging
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, Fluid Mechanics, Mechanical Engineering, Applied Mathematics, Engineering Mathematics, Mathematical Modelling, Nuclear Physics
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Phd Position in Multiscale Spatiotemporal Modelling of Microbiome During the First 1000 Days of Life
interpretability using techniques such as complex network analysis and dimensionality reduction (ordination). Intervention analysis: Develop qualitative and quantitative mathematical models to simulate the impact of
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)) models are used at all stages of pre-clinical and clinical development, but they are based on mathematical and statistical principles dating from the 1970s. Developing these pharmacometric models remains a
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Lead Supervisor’s full name & email address Professor Richard Barker - [email protected] Co-supervisor name(s) & email address(s) Professor Harvey Thompson - [email protected] Dr Joshua Owen - [email protected] Dr Timothy Hunter - [email protected] Project summary Geological...
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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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they are based on mathematical and statistical principles dating from the 1970s. Developing these pharmacometric models remains a laborious task where highly qualified staff spend large amounts of time. Aims