**Job Description**
The Center for Quantitative Genetics and Genomics (QGG) at Aarhus University is seeking successful candidates to join their team to advance research in breeding for climate-related traits, specifically methane emissions and feed efficiency in cattle. The positions will either focus on defining a climate breeding objective, including calculating trait weights and estimating their impact on genetic gain, or developing a climate index, involving phenotype definition, integrating novel genetically related traits using digital tools, functional genomic information, or OMICS to improve genomic prediction models. Candidates will have the opportunity to collaborate with industry partners, teach at various academic levels, and supervise students. The role involves contributing to the green transition in animal agriculture within a collaborative research environment.
**Skills & Abilities**
• Experience with one or more scripting language (e.g., R, Python, SAS) and/or genetic software (e.g., DMU, ASReml)
• Ability to biologically interpret results and relate to breeding decision making
• Excellent teamwork skills and experience collaborating with scientists across different disciplines nationally and internationally
• Effective communication skills, able to communicate complex scientific concepts to diverse audiences
• Interest in teaching and supervision of BSc, MSc and PhD-students
**Qualifications**
Required Degree(s) in:
• Quantitative Genetics
• Animal Breeding
• PhD
**Experience**
Other:
• Published high-quality research in peer-reviewed journals
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