70 parallel-processing-bioinformatics research jobs at University of London in United Kingdom
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, inclusive of London Allowance. Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment
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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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parallel cohort study comparing impacts of air pollution on school children in London and Luton. Children are assessed annually at school visits, where they undergo health assessments including lung function
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into clinically meaningful insights. About You We are looking for a motivated researcher with a PhD (or near completion in 2025/26) in statistical genomics, genetic epidemiology, bioinformatics, or a related field
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-motivated postdoctoral researcher with a strong background in biology and experience in bioinformatics. Experience in multiplex proteomics and sequencing analysis and a track record of effective communication
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research would be an advantage. Previous bioinformatics experience is desirable. Self-motivation, the ability to work as part of a team, excellent research management, and presentation skills are essential
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to completion*) in a relevant subject and a proven track record in computational biology and data science, coming from either a bioinformatic or computational background. With experience of working with large
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, with strong expertise in experimental multi-omics techniques and computational biology alongside experience with flow cytometry and bulk/single cell bioinformatics in genomics/transcriptomics. About the
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About the Role The post is based in the Trauma Sciences research team (https://www.c4ts.qmul.ac.uk/) within the Centre for Neuroscience, Surgery and Trauma. The successful candidate will work
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to demonstrate effective and efficient multi-tasking and maintain accurate and up-to-date records. In addition, the applicants should have a high level of proficiency with computer software related to laboratory