-
the analysis of crosslinking and immunoprecipitation (CLIP), ribosome profiling and RNA proximity-ligation data (e.g. hiCLIP). We are looking for an innovative, and highly motivated scientist who is keen to
-
large numbers of heterogenous samples Applying the latest developments in AI to our research questions Integrating complex multi-omics data, including CLIP Collaborating with experimental scientists
-
QTLomics as part of the project. Main responsibilities Collect and standardise functional information, including QTL data, RNA-seq, and Gene Ontology (GO) annotations Develop computational pipelines for QTL
-
groups, conducting research assessments using digital technology methods (smartphones and virtual reality), and managing large datasets. You will work closely with the lived experience advisory panel who