111 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at University of London
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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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consists of two academics, two senior physicists, two postdoctoral research associates (PDRAs), one technician, and one engineer. The ITk Group collaborates closely with the rest of the Particle Physics
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, Biodiversity and Ecosystem Services, Sustainable Engineering and Food Security, Data and Technology Resources. Our teams are supported by state-of-the-art facilities, including advanced imaging, mass
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: Medicine, Health and Life Sciences Panel B: Physical Sciences, Engineering and Mathematics Panel C: Social Sciences Panel D: Arts and Humanities Applicants may indicate their preference at application stage
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. The post is based in the School of Engineering and Materials Science. About You This Postdoctoral Research Associate Role will join the multidisciplinary research group of Prof Martin Knight, focusing
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will develop and apply computational methods for the analysis of cell-free DNA (cfDNA) sequencing data, supporting a growing research program at the intersection of epigenomics and translational medicine
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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