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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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in screening informatics, biological data analysis, and drug discovery workflows to support the development and delivery of screening and pharmacology programmes within the ARUK UCL Drug Discovery
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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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relevant documents to your application (qualifications, cover letters, supporting statements) and avoid attaching large files e.g. research papers, thesis, publications etc. About the role We are seeking a
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short-read, long-read, and transcriptome data. There is also the potential to develop and publish novel analytical approaches. This is a unique opportunity to work alongside clinical experts
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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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About us This is an exciting opportunity to join a dynamic research team (maternity leave cover) working to improve psychological outcomes in people affected by rare dementias such as posterior
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relevant documents to your application (qualifications, cover letters, supporting statements) and avoid attaching large files e.g. research papers, thesis, publications etc. About the role We are seeking
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will hold experience with PCB design, electronic prototyping, and hardware testing, as well as with developing data acquisition systems and hardware-software interfaces. Application processs As part of
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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