Ideal candidates will have an upper second class degree in a related science, and have a background/interest in population genomics/genetics with a grounding in basic bioinformatics skills. An MSc in bioinformatics with knowledge of population genomics/genetics would be an advantage. The ability to learn programming skills to work with large-scale next-generation sequencing data (e.g. WGS, genomic variants, transcriptomics) is essential.
Application process - View Website
Apply by Thu Jan 09 2020 at 12:00
Meadows & Lindblad-Toh, 2017. Nature Reviews Genetics, 18, 624-636.
Zhang et al, 2014. Science, 346(6215): p. 1311-20.
Fennessy et al, 2016. Curr Biol, 26(18): p. 2543-9.