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We are seeking a collaborative and self-motivated computational post-doctoral fellow to work on cancer cachexia in a vibrant and highly collegiate environment. The candidate will be expected to make
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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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About us UCL, based in Bloomsbury, is a welcoming, inclusive university situated at the heart of one of the world’s greatest cities. UCL is a top-ranked university in the UK for research in
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will involve the creation of an internationally leading research program. The role will be based full time at UCL but will involve extensive interactions with scientists at other SGC sites, in
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provide a response to each one. For a full job description and to apply for this role please visit UCL’s online recruitment portal (https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs ) and search using
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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 B02-09995. To apply, please upload a current CV
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process, please contact: What we offer As well as the exciting opportunities this role presents, we also offer great benefits. Please visit https://www.ucl.ac.uk/work-at-ucl/rewards-and-benefits to find
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. Please visit https://www.ucl.ac.uk/work-at-ucl/rewards-and-benefits to find out more. Our commitment to Equality, Diversity and Inclusion UCL Computer Science is proud to be the first computer
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translational environment of the UCL Institute of Neurology, the ARUK UDDI is uniquely placed to find novel targets, rapidly validate identified novel targets and mechanisms, establish screens and progress
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About us UCL School of Pharmacy is one of the world’s leading centres of excellence for pharmaceutical science, education and professional engagement, ranked third in the world by QS (2025, Pharmacy