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The Coastal Protection and Flood Management Research Programme (CFRP) aims to advance knowledge in coastal and flood resilience and spur the growth of a vibrant research and development ecosystem
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synthesis, to inform evidence-based recommendations for postgraduate programme design and curriculum development in literary translation. Under the supervision of the Principal Investigator, the Research
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development. This includes (as examples) researcher with qualitative research expertise (including intervention co-design), expertise in epidemiology/biostatistics, including the use of routine health and care
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intelligence platforms, enabling real-time monitoring, prognostics, and optimisation of battery systems deployed in battery-powered energy systems. System development and securing external funding and publishing
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experimental studies. You will also contribute to research publications, collaborative research projects, and the development of future research proposals within a multidisciplinary research environment spanning
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health policy development. These two positions will be offered as follows: Position 1: Full-time, fixed-term appointment for 3 years This Postdoctoral Research Fellow requires epidemiological methods
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: Computational methods development and consortium data management for the Human Virome Program, with the mandate to characterize viral (phage and eukaryotic) communities across the human body in health and disease
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collaborators, for a project focused on the development of a large external research grant application titled Gen(d)erations: Past stories, present perspectives and future approaches for trans and non-binary
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Research Fellow to join our research program. Our research focuses on elucidating the fundamental mechanisms of RNA virus infection and host defense, as well as structure-guided antiviral development. We
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on application logic rather than underlying algorithm development), and the capability of independently driving the full "Data-AI-Deployment" process; (c) the ability to evaluate the fit between AI applications