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Postdoctoral Research Fellow

The University of Edinburgh - College of Medicine and Veterinary Medicine / Royal (Dick) School of Veterinary Studies / Roslin Institute

Location: Edinburgh
Salary: £39,347 to £46,974 per annum
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 7th May 2024
Closes: 21st May 2024
Job Ref: 10417

Full-time  - 35 Hours Per Week

Contract Type - Fixed-term: 36 months or funded until 31st August 2027

The Opportunity:

We have an exciting opportunity to apply your skills in Animal Breeding and Quantitative Genetics to a project funded by the Bill and Melinda Gates Foundation based in the Centre for Tropical Livestock Genetics and Health (CTLGH), at the Roslin Institute. The project will develop knowledge and tools to improve the response of native chickens raised in African village conditions to environmental challenges including climate change and parasitic (Eimeria spp) infection.

CTLGH is a strategic alliance of The Roslin Institute at the University of Edinburgh, Scotland’s Rural College (SRUC) and the International Livestock Research (ILRI) Institute established to support programmes that aim to improve livestock based livelihoods in the tropics. You will be based at the Roslin Institute, a world-class centre for research on the quantitative genetics of populations, working in Dr. Kellie Watson’s group, in close collaboration with Profs. Georgios Banos (SRUC) and Olivier Hanotte (ILRI).  

Informal enquiries should be addressed to Kellie Watson (kellie.watson@ed.ac.uk). 

This post is full-time (35 hours per week), however, we are open to considering flexible working patterns.  We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working. 

Your skills and attributes for success: 

  • You hold, or about to gain a PhD in Quantitative Genetics, Animal Breeding, Bioinformatics or related subject
  • You are a self-starter and able to work independently and as part of a team
  • You can demonstrate experience in genomic prediction and Genome Wide Association Studies
  • You have experience of estimation of genetic parameters for quantitative traits, including use of genomic data
  • You have excellent communication skills and experience of working in collaborative scientific projects
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