7 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S"-"St" Fellowship positions at University of London
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data science approaches to generate evidence and tools for safer, more targeted infection management in hospitalised newborns. The post-holder will lead the design, development, deployment and evaluation
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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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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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to the design, nanofabrication and exploration of superconducting quantum devices. The post holder will work on the design, development, fabrication and implementation of superconducting quantum devices
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demonstrate a commitment to quantitative research and methodological development. The post holder is also expected to be proficient in French (spoken and written) to facilitate regional collaborations and data
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scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we