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use of computational bioinformatics and biostatistics techniques to investigate the biological correlates of cancer cachexia by analysing existing genomic and transcriptomic sequencing data from multi
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community of over 500 staff and more than 300 PhD students engaged in cutting-edge research and collaboration. Further information can be found on our website https://www.ucl.ac.uk/biosciences This is an
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, including a vibrant body of postdoctoral and postgraduate (PhD) researcher, plus clinical fellows, organised into distinct research groups. The post-holder will be part of the Clinical and Affective
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. You will work closely with technical teams to incorporate transcriptomic, proteomic, and other omics approaches, ensuring alignment across models and high-quality data generation to support robust
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-funded project Markets and Mobility: How Employers Structure Economic Opportunity (MaMo). The project uses administrative data, digital trace data, and cross-national surveys to examine how
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have a PhD in a relevant biological science, prior postdoctoral experience, and a background of working in a therapeutic discovery setting. Experience analysing high-throughput screening data and
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). The role involves designing and executing experiments using in vivo models, advanced imaging, omics, and cell-based approaches, as well as analysing and disseminating data. The role is available from 01
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informed by their genetic data. ICGNMD-2 will run for three years from March 2026 and we are seeking an experienced and motivated bioinformatician to identify, adapt, and implement cutting edge techniques
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well as a relevant PhD. The successful candidate will be able to work as a member of a range of multi-disciplinary teams and including people with lived experience of a disorder, their families and carers
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have collected rich data for understanding the preferences of citizens regarding which policies their governments ought to enact, as well as for investigating where these preferences do and do not exist