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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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usefulness of the forecast, and perception of forecast performance by the public. Statistical post-processing techniques can help to reduce forecast errors by training machine learning models on data sets
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analysis in biomedical data, in affiliation to the Artificial Intelligence Research Centre . The successful candidate will develop statistical and machine learning techniques to analyse biomedical data. High
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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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. Eligibility Criteria A 2:1 honours degree, or international equivalent, in a relevant subject (e.g. health sciences, epidemiology, statistics, psychology, medicine, pharmacy, nursing, midwifery, allied health
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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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PhD Studentship: Data-driven Probabilistic Modelling of Clonal Dynamics in Human Tissues and Cancers
include: 1) statistical analysis of “big data” coming from clinical genomics, 2) stochastic modelling of clonal dynamics, 3) Bayesian inference from experimental cell lineage tracing and imaging data
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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