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10568- Research Associate in Quantitative Genetics, Biometrics, and Breeding
| Posting date: | 25 June 2024 |
|---|---|
| Salary: | £39,347 to £46,974 per year |
| Hours: | Full time |
| Closing date: | 08 July 2024 |
| Location: | Edinburgh, Scotland |
| Remote working: | On-site only |
| Company: | University of Edinburgh |
| Job type: | Temporary |
| Job reference: | 10568 |
Summary
Grade UE07 £39,347- £46,974
Salary will appointed at £41,732 per year
CMVM- The Roslin Institute, Quantitative Biology Division
Fixed Term, 9 months
Full Time 35 hours per week
The Opportunity:
The Roslin Institute (Edinburgh) has been awarded an Impact Acceleration Award (IAA) with a global plant breeding company to further develop stability metrics for crop breeding programmes. We seek an independent and motivated Research Associate to drive this impactful project. The post-holder will conduct research and implementation of quantitative genetics, biometrics and breeding with a focus on state-of-the-art statistical models and tools for improving and developing more stable crop genotypes.
The Roslin Institute is a world-class centre for research on the quantitative genetics of populations, particularly in livestock, companion animals, aquaculture, forests, and crops.
This post is full-time (35 hours per week). The post-holder will work closely with Daniel Tolhurst and supported by Prof Gregor Gorjanc in the Highlander lab of The Roslin Institute (Quantitative Biology division) on the Easter Bush Campus in Edinburgh.
The post is for 9 months and comes with a travel budget for dissemination.
Informal enquiries should be addressed to Daniel Tolhurst (dtolhurs@ed.ac.uk) or Prof Gregor Gorjanc (gregor.gorjanc@roslin.ed.ac.uk).
Your skills and attributes for success:
-You are passionate about sustainable agriculture and optimising plant breeding programmes through practical applications of quantitative genetics and biometrics.
-You have a strong quantitative genetics and breeding background and/or a biometrics and statistical background.
-You are independent, organised, and thrive in collaboration with multidisciplinary teams working in globally important sector.
-Please inspect the call documentation regarding the essential and desirable knowledge, skills and experience needed for the post.
Salary will appointed at £41,732 per year
CMVM- The Roslin Institute, Quantitative Biology Division
Fixed Term, 9 months
Full Time 35 hours per week
The Opportunity:
The Roslin Institute (Edinburgh) has been awarded an Impact Acceleration Award (IAA) with a global plant breeding company to further develop stability metrics for crop breeding programmes. We seek an independent and motivated Research Associate to drive this impactful project. The post-holder will conduct research and implementation of quantitative genetics, biometrics and breeding with a focus on state-of-the-art statistical models and tools for improving and developing more stable crop genotypes.
The Roslin Institute is a world-class centre for research on the quantitative genetics of populations, particularly in livestock, companion animals, aquaculture, forests, and crops.
This post is full-time (35 hours per week). The post-holder will work closely with Daniel Tolhurst and supported by Prof Gregor Gorjanc in the Highlander lab of The Roslin Institute (Quantitative Biology division) on the Easter Bush Campus in Edinburgh.
The post is for 9 months and comes with a travel budget for dissemination.
Informal enquiries should be addressed to Daniel Tolhurst (dtolhurs@ed.ac.uk) or Prof Gregor Gorjanc (gregor.gorjanc@roslin.ed.ac.uk).
Your skills and attributes for success:
-You are passionate about sustainable agriculture and optimising plant breeding programmes through practical applications of quantitative genetics and biometrics.
-You have a strong quantitative genetics and breeding background and/or a biometrics and statistical background.
-You are independent, organised, and thrive in collaboration with multidisciplinary teams working in globally important sector.
-Please inspect the call documentation regarding the essential and desirable knowledge, skills and experience needed for the post.