12 developer-"https:"-"https:"-"https:"-"UCL"-"UCL" Fellowship positions at University of London
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at the intersection of inflammation biology, therapeutic development, and precision medicine, contributing to projects aimed at elucidating pathogenic mechanisms and identifying druggable targets. The programme
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with experience in metagenomics and diagnostics research. The postholder will be clinically qualified and will contribute to studies focused on developing and conducting studies focused on developing
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. The goals are to develop a greater understanding of basic mechanisms of immunological protection versus pathology, and to apply this knowledge to the development of interventions and the identification
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translational science. About You This position is ideal for a clinician seeking to develop expertise in advanced cardiovascular imaging while contributing to work with clear potential for patient benefit. The
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and to integrate these lines into the drug-development pipeline to aid the discovery of novel therapeutics that eliminate “persister” parasites. This will involve undertaking research on Trypanosoma
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the design, development, deployment and evaluation of NeoShield’s applied machine-learning systems, the machine-learning-driven Clinical Decision Support Algorithm for neonatal sepsis and the real-time ward
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of implementation analysis). This will include reviewing data from a feasibility study, identifying supplementary data needs, and developing tools for costing in a full trial. The postholder will also contribute
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in developing countries through excellence in research, healthcare, and training. Our research programme includes basic scientific investigations, clinical trials, epidemiological studies, intervention
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study designs; join the Dengue Mapping and Modelling Group (DMMG) The post-holder must have a postgraduate degree, ideally a doctoral degree, in a relevant topic. Experience developing, fitting and
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estimations in humanitarian and public health contexts by developing reproducible, multilingual workflows for social media analysis, building data pipelines in R/Python, and creating open-source tools for text