Sort by
Refine Your Search
-
based at UCL while also working with the Cambridge and Argentinian sites. At the outset, this post will primarily involve trial and experimental design, ethics, data collection, and data-curation
-
insurance Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more. We will consider applications to work on a part-time, flexible, and job share basis wherever possible. This appointment
-
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
-
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
-
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
-
that have brought new therapeutic strategies to patients. Further information can be found on our website http://www.ucl.ac.uk/pharmacy/ The Division is housed in an iconic, dedicated building in Brunswick
-
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
-
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
-
collaborating effectively as part of an international multidisciplinary team. What we offerhttps://www.ucl.ac.uk/work-at-ucl/rewards-and-benefits Our commitment to Equality, Diversity and Inclusion: https
-
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