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transmission of respiratory infections using data from the Office of National Statistics (ONS) COVID-19 Infection Survey (CIS). The ONS CIS is a unique household survey with longitudinal follow up of over
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(UKHSA), and aims to investigate use of machine learning for prediction of infectious diseases outbreaks. Using data from routine surveillance of respiratory infections in the first instance, the
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field of Global Health, in the broad areas of immunity and infection, to take up appointment as soon as possible. The post will be based in Cambridge. A key focus of the appointment will be overseeing
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cells of the immune system that kill virally infected and cancer cells. Our research combines cell biology and immunology, using genetic approaches including CRISPR and single cell RNA sequencing
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) at the Department of Pathology (Addenbrooke's campus). Our research is focused on investigating human intestinal pathogens that progress to infections of the central nervous system. We are a strong and diverse team
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on host-pathogen interactions of bacterial infections. https://www.bioc.cam.ac.uk/research/faculty/camilla-godlee The position would suit an ambitious and talented graduate who has recently completed a
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, University of Cambridge (http://www.roychoudhurilab.org ). T cells drive immune activation and promote clearance of infections and cancer. However, their function can provoke autoimmune and allergic
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intracellular survival within macrophages and will incorporate the use of forward and reverse genetic screening, in vitro and in vivo infection models, and novel fluorescent sensors. Candidates should have a Ph.D
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and have evidence of achievement of Combined Infection Training (CIT) competences from a UK affiliated Programme or equivalent in line with GMC standards/Good Medical Practice. If an applicant is
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. These cells perform vital roles in tissue development and function, fighting infection and resolving inflammation. We utilise a range of technologies to develop our understanding of the ontogeny and function