20 professor-computer-science-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL"-"UCL" Fellowship positions at University of London
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in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. We are recruiting a Research Fellow or Assistant Professor
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& International Health is seeking to appoint a Research Fellow in Health Data Science (with a focus on machine learning) to NeoShield , a multi-country implementation research programme focused on neonatal sepsis
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teaching & lead a Quality Improvement (QI) project within the clinical trials unit. About the School/Department/Institute/Project EMR opened in May 2007 and is led by Professor Costantino Pitzalis
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with Professor Emma Thomson and Professor Michael Marks, and collaborators at UKHSA. This work is a collaboration between the London School of Hygiene & Tropical Medicine (LSHTM), the Rare and Imported
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a Research Fellow to contribute to a research programme examining how digital environments influence adolescent health. The postholder will lead the analysis of the UK Household Longitudinal Study
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(e.g. molecular biology, bioinformatics, artificial intelligence or statistics), with strong computational skills and experience working with genomic or large-scale biological datasets. Further
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in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. The Department of Infection Biology brings together pathogen
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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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must have a postgraduate degree, ideally a doctoral degree, in a relevant topic. The role requires proven expertise in data science or related fields, with strong skills in quantitative analysis applied
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. The study integrates clinical, microbiological, and data science approaches to generate evidence and tools for safer, more targeted infection management in hospitalised newborns. Key output involves leading