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and child health. They will develop data analysis plans, organise data management, and conduct statistical analysis of national and local routine health datasets, including the Education and Child
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Environmental Engineering, and will have the following responsibilities: Development and implementation of hardware and software; Data analysis and modelling; Coordination of field measurement and data analysis
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they are no longer eligible for the SFVS to see if things change. Quantitative and qualitative data will be collected through interviews and focus groups. A Research Fellow will also be appointed at Leeds University
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particular focus on how vocational education across Europe shapes young people’s civic knowledge, attitudes, and engagement. Advanced data analysis: Applying methods such as IRT, SEM, and MG-CFA, using R
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simulation of the integrated optimisation of Vehicle-to-Grid (V2G) energy flows, using data on e-mobility demand, traffic and parking patterns, and grid configuration. This work will contribute
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. The project seeks to develop mathematical models for allocation of critical resources during pandemics. Populating these instances with real-world data we would then develop novel algorithms to solve them
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the Department of Health Data Science (HDS), which is part of the Institute of Population Health (IPH) at the University of Liverpool. This is an exciting opportunity for an experienced health economic modeller
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data Apply knowledge in a way which develops new intellectual understanding Disseminate research findings for publication, research seminars etc Supervise students on research related work and provide
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expertise in a supportive and innovative environment. In this role, you will lead the computational strand of the project, applying molecular simulations, data analysis, and machine learning to uncover how
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analysts and provide strategic bioinformatics support across multidisciplinary projects. The role involves analysing clinical and genomic data from well-characterised epilepsy cohorts, with a focus on