42 engineering-computation "https:" "https:" "https:" "https:" "https:" "U.S" research jobs at University of London
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About the Role The post entails undertaking research in collaboration with and under the supervision of the project lead of the research programme ‘Politics and mythmaking: disentangling myth from
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. The post-holder will be responsible for bringing forward an innovative programme of work to investigate the impact of the OptiMAx programme through mixed-methods process evaluation and gender analysis
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programme into health equity. The role will be based in the Blizard Institute This is an opportunity for a candidate with a Postgraduate (MSc/ MA) qualification in a relevant subject, to be part of
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About the role We are seeking an enthusiastic Postdoctoral Researcher to join the School of Engineering and Materials Science at Queen Mary University of London. The successful candidate will
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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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. This Bart’s Charity Funded project will focus on developing, implementing, and evaluating a psychosocial support programme for people affected by nitrous oxide related harms. The post-holder will be supported
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required. The post is available full-time or part-time, 28 - 35 hours per week, 0.8 – 1.0 FTE and fixed term until 31 August 2027. The post is funded by the NIHR Policy Research Programme and is available
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equivalent to PhD level in the relevant subject area for the research programme. They will be educated to degree level in a relevant field and have qualifications in participatory research methods, alongside
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computational skills, and have demonstrated experience in HPV-related modelling. Further particulars are included in the job description. The post is fixed term until 31 March 2027 and full-time 35 hours per week
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endemic countries. We are seeking to appoint a Research Fellow to join a research programme that applies advanced bioinformatic, statistical, and population genomic approaches to large-scale sequencing data