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An outstanding opportunity is available for a PhD student to work on mutation load dynamics in a cooperatively breeding mammal, the banded mongoose. The project will explore how predicted deleterious mutations influence fitness in the banded mongoose, using a long-term dataset spanning three decades.
Job Responsibility:
Analyse contributions of deleterious mutations to inbreeding depression using a long-term dataset spanning three decades
Combine cutting-edge genomic approaches with rich ecological and behavioral data to uncover the genetic basis of fitness variation
Requirements:
Good first degree and an M.Sc. or equivalent in a relevant topic (e.g. population genomics, bioinformatics, molecular ecology, behavioural ecology)
Strong quantitative skills, including proficiency in working in R and experience of writing custom scripts
Practical experience of handling, analysing and interpreting next generation sequence (NGS) data is strongly preferred
Ability to work both independently and as part of a multidisciplinary team
High standard of spoken and written English
What we offer:
Fully funded for three years
Health insurance
Pension contributions
Funding available for the student to attend workshops and conferences
Opportunities for international travel and collaboration