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, interviews or choice experiments. C2. Strong statistical and modelling skills using R, Python, Stata, or equivalent. C3. Ability to integrate qualitative and quantitative data into coherent analytical
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in the UK in research excellence in the Research Assessment Framework (REF, 2014), with 100% of our output assessed as internationally excellent or better. PhD: 3 years full-time; 5 years part-time
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2025’. Late applications will not be considered. We expect to hold interviews the week beginning 24 March 2025. Self funded opportunities PhD A data driven multiscale approach for understanding the Solar
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the project’s deliverables. 2. To perform internationally competitive research in the analysis of transcriptomic and epigenetic data. 3. To provide analytical and statistical expertise, and algorithms for data
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or analytical chemistry. Training can be provided in areas where the student lacks experience Career prospects After completion of their PhD, students may wish to consider careers such as analytical geochemistry
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topology and environmental statistics. PhD: 3-4 years full-time; 6-8 years part-time; Thesis of Max 80,000 words MSc (Research): 1-2 years full-time; 2-3 years part-time; MPhil: 2-3 years full-time; 3-4
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Applied Data Scientist – Health and AI (Trusted Research Environment) Research Track Job Purpose To provide advanced analytical, epidemiological, and data-science support for research projects using
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and teaching that transforms the practice of Statistics, Data Analytics and Data Science. With regular seminars and events, we have a lively and mutually supportive research environment, which has led
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, or behavioural sciences to join our group of PhD students. Methods will include: Secondary Analysis of big data using natural experimental approaches; Qualitative Research methods and Mixed Methods. Inequalities
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economic evidence alongside clinical trials evidence synthesis economic aspects of population health statistical analysis of linked health data decision analytic modeling and simulation incorporating