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search strategies and lexicons. Proficiency in fitting and validating statistical models or machine learning algorithms is essential, along with advanced skills in R and/or Python for data processing and
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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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building in London. The postholder will work in a multidisciplinary project aiming to generate genetically modified T. cruzi cell lines, where quiescence is an inducible phenotype, both in vitro and in vivo
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research across the School. We study the molecular biology and genetics of pathogens and interaction with their hosts, to improve understanding and control of infectious diseases and to understand how
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direct policy relevance. The post provides an excellent opportunity to work on economic studies. These include: Economic evaluation as part of PROTECT-C: a research study offering genetic testing to people
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Trust-funded programme grant. This will involve in-depth biochemical, molecular, genetic and cell biological analysis of the D-arabinanases, leading to the discovery of mycobacterial interactions with