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children with noma and geographically matched control participants across multiple study sites. Building on our initial metagenomic study of noma, you will develop and apply reproducible analytical workflows
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(OVG) as part of the Correlates of Immunity – Artificial Intelligence (CoI-AI) Programme, a pioneering initiative that integrates controlled human infection models, advanced immunology, and AI-driven
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of Immunity – Artificial Intelligence (CoI-AI) Programme, a pioneering initiative that integrates controlled human infection models, advanced immunology, and AI-driven analytics to accelerate vaccine discovery
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insights that directly support evidence-based malaria control strategies. This position offers a unique opportunity to work at the cutting edge of vector genomics, contributing to a global effort to improve
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10X controllers, spatial transcriptomics profilers, PCR machines and flow cytometers. About You You will hold a PhD/DPhil in immunology or related area with post-qualification research experience
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focused on the use of enabling technology, such as flow, to control complex chemical processes. With projects in supramolecular synthesis, organic materials, industry processes, automated optimization, and
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geneticists and clinicians to integrate this assay with current genetic markers and clinical practices. A strong command of statistics and multi-centre collaborations is therefore required. Successful
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team focused on the use of enabling technology, such as flow, to control complex chemical processes. With projects in supramolecular synthesis, organic materials, industry processes, automated
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which the interactions with molecular water are controlled. Working as part of a multidisciplinary research team, you will design and synthesis of ionophores and the generation and characterisation
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controllable molecular motion. In this role you will be expected to manage your own academic research and administrative activities, to supervise other team and lab activities when asked and to coordinate work