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control methods. Rigorous theoretical and statistical analysis will be carried out to prove the effectiveness of these proposed techniques. Hence, a strong foundation in mathematical and control theory is
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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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generalisability compared to traditional adaptive control methods. Rigorous theoretical and statistical analysis will be carried out to prove the effectiveness of these proposed techniques. Hence, a strong
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validating joint models for clinical prediction. Applicants should have: Obtained or working towards a 1st class degree in Mathematics (BSc/MMath) or Distinction level Masters in (Bio)Statistics, Data Science
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subject, such as psychology, biology, human genetics ii) an MSc in a relevant subject involving human genetic research or child development research iii) Prior experience working with statistical packages
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and/or EU market context. The successful applicant must have strong quantitative, statistical, and analytical skills. Demonstrated knowledge of Python and Machine Learning techniques will be
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statistics and will have a background in psychology or a related discipline. They will be supervised by Dr Sam Farley, Dr Nicola Thomas, and Professor Jeremy Dawson from the Institute of Work Psychology
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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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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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sequencing, qRT-PCR, western blotting, bioinformatics, ELISA, cell culture, statistics, and literature reviews. A working knowledge of these techniques is therefore desirable. We will compare subtypes, detect