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longitudinal methods and cross-national data analysis to investigate the economic drivers and consequences of grey divorce. The project will explore how individual- and couple-level economic factors—such as
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ideal candidate will have an interest in ecological modelling, spatial analysis, and conservation planning, with experience in ecological fieldwork or quantitative data analysis being advantageous. Full
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sources compared with gas turbines, etc. The aim of this PhD research is to develop novel performance simulation capabilities to support the analysis and optimization for sCO2 power generation systems
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Lead Supervisor name: Andrew Callaway, email: acallaway@bournemouth.ac.uk Project description: This PhD programme will determine the most clinically acceptable methods for emergency response teams
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). Experience in numerical modeling and data analysis. An interest in groundwater contamination, risk assessment, and sustainability. Programming experience (Python, MATLAB, or similar) is desirable but not
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motivated and skilled candidate with a background in physics, biophysics, biological physics, or bioengineering. This PhD project will primarily focus on experimental research, which will include data
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rheology, functional ingredients. Experience of data handling and statistical analysis. Track record of scientific writing (for career stage), with publications in peer-reviewed scientific journals
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analyses by age, ethnicity, and index of multiple deprivation will be performed. The second stage of the study will involve the analysis of prospectively collected EQ-5D-5L data from a cohort of patients to
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the analysis of the complex data and cellular models (Big Data and Kavli Institutes). The DPhil will provide the student with multidisciplinary skills including specialized training in bioinformatics, genetic
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expertise in single-cell spatial analysis and collaborations with leading epidemiologists, we have collated unique data resources that will enable us to characterise the link between obesity and the breast