27 assistant-professor-computer-science-and-data-"Meta" Fellowship positions at University of London
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for a Research Fellow in Bioinformatics/Computational Biology to help develop, coordinate, and conduct robust analysis of high-throughput host protein data under supervision using advanced analytical and
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. The post-holder must have a postgraduate degree, ideally a doctoral degree (for Research Fellow) or a doctoral degree (for Assistant Professor) in epidemiology, medical statistics or health data science
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Assistant Professor) to support primarily two new UKRI projects with additional ad hoc statistical analysis and epidemiological interpretation for projects in the thriving laboratories of Professor Chris
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science methods, ideally to environmental health data, and conducting systematic reviews and meta-analysis. Further particulars are included in the job description. The post is full-time 35 hours per week
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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 seeking to appoint a Research Assistant or Research
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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 Baby Ubuntu programme is a group-participatory programme
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access to cutting-edge technology across the UK healthcare and biotech sectors. Read more about the initiative here This is a unique opportunity to help build a first-of-its-kind cancer AI development
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to work in Professor Polly Roy’s dynamic and productive research laboratory at LSHTM. The post is funded by Wellcome Trust and is focused on double-stranded RNA virus replication. Applicants should be
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-led nutrition interventions during the war in Sudan. Responsibilities include developing surveys to assess reliance on community kitchens, analysing pre- and post-war data on food, disease, and coping
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, Professors Ruth Keogh and Kate Walker. Applicants should have a postgraduate degree, ideally a PhD, in medical statistics, epidemiology, health economics or a related field. Relevant experience in applying