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the data to statistically predict match outcome and league position. Initially, these models will be based on legacy data from our project partner, Scarlets Rugby. This dataset comprises individual athlete
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, outcomes, and real-world impact. The student will be supported by a supervisory team including Professors in hepatology and epidemiology, and experts in computational statistics and model fitting using
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occurrence, aetiology, outcomes, and real-world impact. The student will be supported by a supervisory team including Professors in hepatology and epidemiology, and experts in computational statistics and
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of Mathematics, Statistics and Physics invites applications for a PhD position in Physics, under the supervision of Prof. Noel Healy Integral to the second quantum revolution is the entangled photon
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Award summary 100% fees covered, and a minimum tax-free annual living allowance of £19,237 (2024/25 UKRI rate). Overview The School of Mathematics, Statistics and Physics invites applications for a
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assess potential health inequalities. Facilities The PhD student will be based in Population Data Science at Swansea University with visiting PhD Student Status at the Department of Statistics
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will be to: Research statistical methods and industrial production theory to develop a generic approach to the problem. Compile a comprehensive list of manufacturing parameters, material properties and
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; Midlands Graduate School Doctoral Training Partnership | Birmingham, England | United Kingdom | about 2 hours ago
, including economics, business and management studies, innovation, internationalisation, social statistics and applied mathematics. A master's degree is not mandatory as comprehensive postgraduate training
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statistical comparisons between simulations and experimental data. Collaboration is key to research, and the successful candidate will collaborate closely with clinicians, biologists, and oncologists from
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; Midlands Graduate School Doctoral Training Partnership | Nottingham, England | United Kingdom | about 2 hours ago
performance and green innovation. It also explores how these effects change when combined with environmental regulations and innovation incentives. The project will employ statistical analysis and econometric