Seabirds are important top predators in marine ecosystems and therefore often host a wide variety of parasite species. Data has been collected on a range of parasites reported in seabirds in the literature. These data are now ready for analysis. Analysis will require the use of R to create topological phylogenetic trees and to carry out meta-analysis using Bayesian methods. Full training will be provided but a strong working knowledge of R is required and an interest in host-parasite interactions will be beneficial.
Language requirements:
English
Specific competences required :
The candidate will need to have a strong working knowledge of R, pay close attention to detail, and be organised.
Safety issues:
Due to the nature of office work the candidate will be encouraged to maintain a good work-life balance including regular breaks from the seated position and from a computer screen. Feelings of isolation will be prevented through regular meetings between the candidate and their supervisor, and the candidate will also join other online lab activities during the professional practice period.
Accommodation possibilities :
This opportunity will be fully online and candidates are encourage not to travel.
Additional costs to be covered by the student:
No
format:
online
