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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 project will involve experiments at Free Electron Laser Facilities and subsequent analysis and modeling of the data. The successful applicant will join a vibrant research group that uses a wide variety of
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, German Research Foundation. The selected candidate would conduct research at the interface of theory and application. The project seeks to develop mathematical models for allocation of critical resources
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is available on a 0.4 FTE basis for 30 months and will be based at the School of Health Sciences, Highfield Campus, Southampton, working with the wider project team. The successful candidate may be
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challenges across electronic textile-based sensing, wireless, electrochemical and design technologies with a focus on sustainable developments towards practical user-centric e-textile systems. In these roles
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stakeholders within the region, which include a wide range of NHS organisations, local universities, charities, local authorities and others. The post is available on a part time basis and will be based
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the effects of extreme temperature on health outcomes (e.g., hospitalisation and mortality) on multimorbidity populations. The work will be based within the Big Data in Health Group (BDiH) at the University
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of distributed characterization of hollow core fibres, including properties such as attenuation, polarization, but also pressure and content of air inside the fibres. The successful candidate will be based
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Physics/Chemistry/Materials Science/Engineering, and excellent experimental skills. Knowledge and hands-on experience in active-doped silica-based fibre fabrication, spectroscopic characterisation of doped
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the MRC uses a multidisciplinary approach of mass spectrometry, microscopy, and cell-based assays to explore how dysfunctional carbohydrate-processing causes disease. The post offers huge potential in