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which area you’re applying to (AI & Epidemiology, Phylodynamics & Human Mobility, Climate & Infectious diseases, Global health digital data science), as well as your preferred starting date. We
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consciousness. The researcher will also contribute to the analysis of qualitative data collected in earlier project phases, producing high-quality publications in leading socio-legal journals. The successful
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research materials and analysing and presenting qualitative and/or quantitative data from a variety of sources. The successful candidate will hold a PhD degree in a relevant topic (e.g. Biomedical sciences
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Postdoctoral Researcher in Digital Pandemic Preparedness. The post holder will manage and carry out research in digital pandemic preparedness by leveraging multiple types of personal digital and real-world data
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and realign how we measure and model populations by infusing new types of data, methods and unconventional approaches to tackle the most challenging demographic problems of our time. We are seeking a
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on academic research that relies extensively on survey data and work with interview data, historical case studies, cross-national and sub-national data, and the literature related to this programme of research
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with relevant experience, and possess demonstrable experience of generating bulk and/or single-cell resolution RNA sequencing data from fresh and archival or fixed tissue samples. You will have documented
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associated with the research group of Professor Christopher Yau based in the Big Data Institute at the University of Oxford. The role will involve developing novel artificial intelligence (AI)-based methods
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experimental design (active learning) • Combining models and combining data / Realistic simulation of clinical trials • Developing LLMs to utilise ODEs and ProbML as tools; Code synthesis
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the model, its numerical implementation in a finite element code, and its validation against experimental data in collaboration with experimental collaborators. You will also engage with the hub activities