14 engineering-computation "https:" "https:" "https:" "https:" "U.S" Fellowship positions at University of London
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investigators at Royal Holloway, where this post will be based, working with research partners at the UK National Physical Laboratory and the Leibniz Institute of Photonic Technology (Jena). You will have prior
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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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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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environments. Demonstrated experience in data engineering and ETL workflows required to prepare large, real-world dataset for machine-learning development is also essential. Please note experience in healthcare
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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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& 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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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