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between things, developing the mathematical and computational foundations for optimal information transfer between surfaces and volumetric current distributions in complex scattering media. The research
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and quality‑controlled, generating high‑quality serological, molecular and genomic data alongside metadata that will feed dashboards as well as catalytic and phylodynamic models. The post includes
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are found in the context of airway-derived metagenomic data. The project will be supervised by Dr David Cleary (UoB), Prof. Alan McNally (UoB) and Dr Meera Chand (UKHSA). Applications of a two page CV and
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collected regularly from sewage-impacted rivers and from properties affected by flood events. Data will be analyses using advanced bioinformatics to characterise community structure, resistance genes and
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We are seeking a highly motivated researcher to join a multi-disciplinary team to engage with communities and stakeholders to understand their viewpoints on linking health and environmental data
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date is October 2026. We recommend that you apply early as the advert may be removed before the deadline. A 3.5-year PhD studentship in advanced NMR and data analysis is available in the University
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) advances in imaging techniques that fuel a more detailed understanding of the brain, 2) tools from artificial intelligence that enable building better computer simulations of the brain. The lab will leverage
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of the MEDGREENREV ERC-Synergy project though which you will gain experience of working as part of a multi-disciplinary, international research team. The links between pastoralism, cultivation, manuring, geology and
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remain in aligning how physical HcI is delivered using OSC and how healthcare systems manage their supply chains. This project will develop an interdisciplinary, data-driven framework to quantify and
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100 members is part of the Faculty of Earth Sciences, Geography and Astronomy at the University of Vienna. The research group “Data science in Astrophysics & Cosmology” is looking for three highly