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to policing data, with potential expansion to additional sectors such as health, education or justice in subsequent years. This will include contributing to the development of review and verification plans
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flows, using data on e-mobility demand, traffic and parking patterns, and grid configuration. This work will contribute to the development of statistical models to predict and support power supply
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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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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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, biomedical engineering, psychology and have excellent coding and data analysis skills. You will be highly motivated, collaborative, interested in technology and interdisciplinary research and willing
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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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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 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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. 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