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be with UCL colleagues, you will be expected to develop positive working relationships with ICGNMD researchers across the UK and internationally, therefore strong communication and data reporting
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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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. Please do not upload any additional attachments as these will not be considered by the selection panel. You will hold a PhD in bioinformatics, or have equivalent professional experience, and an
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a full job description please visit UCL’s online recruitment portal (https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs ) and search using vacancy reference B02-10144. To apply, please upload a current
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funded by CRUK Cancer Grand Challenges REWIRE-CAN programme. Key Responsibilities In this position you will be working as part of the Crick’s Bioinformatics & Biostatistics Scientific Technology Platform
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that includes academic, technical and bioinformatics staff as well as external partners at Exeter, Cardiff, UCL and international biobanks. We are looking for someone with a good undergraduate and/or
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biology, bioinformatics, genomics, statistics, physics, or a related quantitative field Demonstrated ability to analyse large-scale sequencing data using R, Python or equivalent A self-motivated team player
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peer-reviewed journals* Ability to work both independently and within a group Mouse embryo work, bioinformatic analysis and imaging of 3D embryos/organoids (Desirable) *Minimum Criteria About us The
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bioinformatics and the social sciences. PhD: 3-4 years full-time; 5 years part-time; MSc (Research): 1 year full-time; 2 years part-time; Apply now Overview Overview The School of Biodiversity, One Health, and
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have some familiarity with bioinformatics and a degree in evolutionary biology or related discipline. References Elmer KR (2016) Genomic tools for new insights to variation, adaptation, and evolution in